Corezoid Gen Bot logo

Corezoid Gen Bot

Organization
corezoid
corezoid-gen-bot

Generates a multi-platform messenger bot (Telegram, Viber, Apple Messages for Business, Facebook Messenger) on Corezoid from a set of EXISTING Corezoid processes plus a description of the desired bot. Use when the user has a working Corezoid backend (process ids, a folder id, or pulled .conv.json files) and wants it reachable from a chat. Runs in phases via subcommands plan/execute/refresh — see the "Modes" section. Trigger on "сделай бота из этих процессов", "сгенерируй бота", "бот на базе процессов корезоид", "telegram/viber/fbmessenger bot from corezoid processes", "corezoid gen bot", "оберни процессы в бота", "создай оркестратор коммуникаций", "communications orchestrator", "згенеруй бота з цих процесів", and on "execute plan" / "погнали" / "refresh plan" when a `.corezoid-gen-bot/` directory is present. For a Smart Form web app over the same processes use `simulator-app-generator`; to change a bot that already exists use `edit-bot`.

Overview

Publishercorezoid
Repositorycorezoid-ai-plugin
Skill namecorezoid-gen-bot
Stars
74
Forks
26
Bundled files
15
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 15 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by corezoid on GitHub. Read the source before you install it.

Installation

Install the Corezoid Gen Bot AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/corezoid/corezoid-ai-plugin/tree/main/plugins/corezoid/skills/corezoid-gen-bot
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/corezoid/corezoid-ai-plugin.git /tmp/corezoid-ai-plugin
mkdir -p .claude/skills
cp -r /tmp/corezoid-ai-plugin/plugins/corezoid/skills/corezoid-gen-bot .claude/skills/corezoid-gen-bot
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Corezoid Gen Bot in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Corezoid Gen Bot on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Corezoid Gen Bot is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

corezoid-gen-bot

Turns a set of existing Corezoid processes + a description of the bot into a deployed, smoke-tested messenger bot. One bot serves every channel the user has a token for — Telegram, Viber, Apple Messages for Business (abc), Facebook Messenger (fbmessenger) — and one channel is enough; the command processes are the same whichever channels are wired.

The skill owns three things nothing else does:

  1. Contract extraction — deriving what each handed-in process really consumes and produces, and whether it can be called at all.
  2. Command design — turning N process contracts into a coherent set of chat commands that uses all of them.
  3. Verification — proving each command actually reaches its process and its user, and repairing it when it doesn't.

Everything else is a template. create-communications-orchestrator builds ~150 Corezoid processes (channel receivers, router, per-channel API methods, config state diagrams, sample bots); the skill adds one process per command and the copy those processes reference.

Read these before generating anything:

Load them with the Read tool. ${CLAUDE_PLUGIN_ROOT} resolves to the installed plugin root; a bare references/… does not — this skill runs with the Corezoid workspace as the working directory, where no such directory exists. Every short references/<file> named later in this document lives in ${CLAUDE_PLUGIN_ROOT}/skills/corezoid-gen-bot/references/.

DocumentWhat it settles
${CLAUDE_PLUGIN_ROOT}/skills/corezoid-gen-bot/references/contract_extraction.mdhow to read a handed-in process; the manifest format
${CLAUDE_PLUGIN_ROOT}/skills/corezoid-gen-bot/references/command_patterns.mdcontract shape → command shape; the coverage rule
${CLAUDE_PLUGIN_ROOT}/skills/corezoid-gen-bot/references/template_map.mdthe orchestrator's contracts, and how a command calls a domain process
${CLAUDE_PLUGIN_ROOT}/skills/corezoid-gen-bot/references/rpc_call.nodes.jsonthe api_rpc / api_copy / state-read fragments
${CLAUDE_PLUGIN_ROOT}/skills/corezoid-gen-bot/references/bot_reply.skeleton.json, bot_dialog.skeleton.jsonthe two command shapes
${CLAUDE_PLUGIN_ROOT}/skills/corezoid-gen-bot/references/localization.seed.json, attachments.seed.jsonthe runtime copy and keyboard documents
${CLAUDE_PLUGIN_ROOT}/skills/corezoid-gen-bot/references/plan_md_schema.mdthe exact PLAN.md schema Phase 3 writes

Phases 4–8 (execute mode) are each detailed in their own reference file — load the one for the phase you're about to run, not all of them up front:

DocumentPhase
${CLAUDE_PLUGIN_ROOT}/skills/corezoid-gen-bot/references/phase4_build_orchestrator.mdPhase 4 — build the orchestrator from the template
${CLAUDE_PLUGIN_ROOT}/skills/corezoid-gen-bot/references/phase5_generate_commands.mdPhase 5 — generate one process per command
${CLAUDE_PLUGIN_ROOT}/skills/corezoid-gen-bot/references/phase6_seed_tasks.mdPhase 6 — seed Localization, Attachments and the menu
${CLAUDE_PLUGIN_ROOT}/skills/corezoid-gen-bot/references/phase7_verify_repair.mdPhase 7 — verify, and repair
${CLAUDE_PLUGIN_ROOT}/skills/corezoid-gen-bot/references/phase8_report.mdPhase 8 — APPROACH.md, then report
${CLAUDE_PLUGIN_ROOT}/skills/corezoid-gen-bot/references/rules.mdFull rule list — read before Phase 4

0. Preflight

  • Corezoid MCP tools present — pull-process, pull-folder, push-process, lint-process, layout-process, create-alias, run-task and create-communications-orchestrator, plus the router actions show-task, modify-task, list-node-tasks (cz-tasks) and create-variable (cz-variables). Missing → tell the user to install the Corezoid plugin and run /corezoid-init.
  • Router call shape — an action is called as cz-tasks {"action": "show-task", "args": {"process_id": 123, "ref": "localization"}}, every argument inside args; the show-task process_id: … ref: … shorthand used below means exactly that. "help": true returns an action's full schema and runs nothing.
  • A stage resolves. The usual sign is a <id>_<name>.stage.json marker at the workspace root, and most tools resolve stage from it. But the marker is not the only source: the MCP server also resolves stage from ~/.corezoid/config.json, keyed by the working directory, so a workspace that has been logged into but never pulled has no marker and still works — the marker appears with the first pull-folder. So probe rather than refuse: try pull-process on one handed-in id. If it succeeds you have a stage (read project_id/stage_id from the config entry for this directory and pass them explicitly in Phase 4, since the wizard's defaults lean on the marker). Only if it fails is this a login problem (see the corezoid-init skill).
  • The workspace id is known; the wizard needs it.

What this skill accepts

InputFormRequired
Processesa list of numeric process ids, or one folder id, or paths to already-pulled <ID>_<Title>.conv.json filesyes
Bot descriptionfree text: who talks to it, what they should be able to doyes
Channels + tokensat least one; exact field names belowyes
Languagesthe wizard's lang + every language to seedno (en)
Corezoid targetstage_id / project_idno (from the marker, or from ~/.corezoid/config.json when there is none)
Test datainputs that make a process return something realno
Reference materialsan existing bot, screenshots of the flow, copy deck, product briefno, but strongly encouraged

Channel token fields — the wizard rejects anything else with a generic Value is not valid, so get them exactly right:

ChannelToken fieldExtra
telegramkey—
viberviber_token—
fbmessengerpage_access_token—
abcabc_tokenuser_id (int), email, name — the brand contact

One entry per channel; a channel listed twice is rejected. messengers is mandatory for the wizard — there is no "build the template now, wire channels later" path.

If the description is missing or vague, ask once for: who uses the bot, what they should be able to do, and which of the handed-in processes matter most. Do not start designing without it.

Credentials never enter a file. Channel tokens are wizard arguments and nothing else — not PLAN.md, not APPROACH.md, not a process JSON, not the chat summary. A pulled mirror is a git-tracked artifact. In PLAN.md record only channels: [...] and tokens_supplied: true.

Modes

InvocationModeWhat runs
/corezoid-gen-bot plan <ids or folder>planPhases 1–3 — pull, extract contracts, design, write PLAN.md, stop
/corezoid-gen-bot execute (or "погнали", "go")executePhases 4–8 — build, generate, seed, verify, report
/corezoid-gen-bot refreshrefreshPhase 2 only — re-pull, re-derive, patch PLAN.md, print diff, stop
/corezoid-gen-bot <ids or folder> no subcommandfullplan → summary → pause → execute only after the user confirms; never automatically

.corezoid-gen-bot/PLAN.md is the source of truth between phases, with .corezoid-gen-bot/bot-contract.json as the machine-readable manifest beside it. The user never opens either: they read the chat summary and ask for changes in natural language ("убери /history", "переименуй в /order", "не спрашивай телефон"), and you translate that into targeted Edits and re-print the summary.

execute is not idempotent — the sharp edge of this skill

create-communications-orchestrator mints a new folder of ~150 processes every call, and there is no delete-orchestrator counterpart. Running execute twice leaves two orchestrators bound to the same channel tokens, and a messenger webhook points at one — so the second build silently steals the traffic and the first becomes ~150 dead processes someone removes by hand.

  • Check PLAN.md's orchestrator.folder_id before Phase 4. Set → resume from Phase 5.
  • The tool now refuses to build without apply=true plus a confirm token bound to the target stage, the channel set and the channel credentials, so a stray call previews instead of building. Treat that as a backstop, not as permission to skip the checks here: the token is trivial to supply, and the gate cannot tell an approved build from a repeated one.
  • Write the wizard's response into PLAN.md immediately. A crash between "wizard returned" and "plan updated" is the one state that cannot be recovered automatically.
  • The wizard polls 10×3 s. On timeout it returns the job id — do not retry. Ask the user to check the stage and resume with the folder id they report.
  • Changing an orchestrator that exists is edit-bot, never a second execute.

Never call EnterPlanMode

The plan phase here is normal execution: it needs Bash, Write and MCP tool calls to pull processes and probe. EnterPlanMode blocks all three.

Choosing a mode from a plain-text request

  • Process ids / a folder id and a plan keyword (plan, только план) → plan.
  • Execute keyword and PLAN.md exists → execute.
  • Refresh keyword and PLAN.md exists → refresh.
  • Process ids with no phase keyword → full.
  • PLAN.md exists and the user asks to change something in it → PLAN.md edit (§5).
  • PLAN.md has a folder_id and the user asks for a change → hand off to edit-bot.

Phase 1 — Acquire

1.1 Inventory what is already on disk — before pulling anything

The workspace is usually an already-pulled stage, so most or all of the handed-in processes are likely sitting there. Take inventory first and pull only what is missing. Re-pulling a process that is already local costs an API round-trip per process, and pull-process overwrites the local file — if somebody had unpushed edits in it, a blind re-pull destroys them.

The id is the identity: a process is on disk iff a file named <id>_<anything>.conv.json exists anywhere under the stage root. Match the prefix exactly — 1906756_ must not be satisfied by 11906756_.

bash
# stage root = the directory holding the <id>_<name>.stage.json marker
root="$(dirname "$(ls *.stage.json */*.stage.json 2>/dev/null | head -n1)")"; root="${root:-.}"

for id in 1760349 1760347 …; do
  hit="$(find "$root" -name "${id}_*.conv.json" -print -quit)"
  if [ -n "$hit" ]; then echo "local   $id  $hit"
  else                   echo "missing $id"; fi
done

Report the split before pulling: {L} of {N} processes already on disk, pulling {M}. If the working tree is a git repo, also check whether any of the local hits are dirty (git status --short) — a dirty file is somebody's work in progress, and it is the one case where you must ask before re-pulling it.

1.2 Pull only the missing ones

pull-process(process_id=<id>) per missing id — it writes <ID>_<Title>.conv.json into a directory mirroring the process's location in Corezoid.

If the user gave a folder instead of ids, check for that folder locally first (<folder_id>_* under the stage root). If it is absent, call pull-folder with the stage id (folder_id is required over MCP — see §4.2): it mirrors the whole stage into the stage root (not the current directory), so the processes land at their real paths. Then locate the folder by its <folder_id>_ name prefix. Passing that folder's id to pull-folder instead unzips its contents over the stage root and loses the folder boundary — the same trap as §4.2.

Never rename these files. The <ID>_ prefix is load-bearing: push-process and lint-process recover the process id from it and fail with a format error otherwise.

1.3 Record provenance

Per process record the local path, the alias if it has one (@alias survives a stage promotion where a numeric id does not), and where the file came from: source: "local" (reused, with its mtime) or source: "pulled". This goes in the manifest and in the plan summary.

Provenance matters because a reused file is a snapshot of unknown age, and Phase 2 derives the whole contract from it: a process that gained an alternate outcome or lost a reply node since that snapshot yields a command that mis-branches at runtime. There is no cheap staleness check — confirming a local file is current is pulling it — so do not pretend to verify it. State the age plainly, and if a reused file is more than a few days old, or its contract turns out to be the load-bearing one for a command, offer to re-pull that process rather than guessing.

In refresh mode this reuse is skipped entirely: refresh exists to re-read the server, so it re-pulls every process in sources unconditionally.

Phase 2 — Contract extraction

Follow references/contract_extraction.md and produce .corezoid-gen-bot/bot-contract.json. The short version of what it covers, in the order the questions matter:

  1. Is it callable? conv_type: "process" with ≥1 api_rpc_reply reachable from Start → api_rpc. No reachable reply node → api_copy only, and the command can never show a result. conv_type: "state" → not called, read inline. Paused → not wired at all until the user says so. An api_rpc into a reply-less or paused process hangs until the semaphore fires, which in a chat is a user waiting the full 30 s for an error — this is the most expensive misread in the skill and it is invisible in params.
  2. Outputs from the api_rpc_reply nodes' res_data / res_data_type, grouped into success / alternate / error. throw_exception: true replies reach the caller as an error on the calling node, not as data.
  3. Alternate outcomes are the most commonly missed signal — 402/registration, 401/recovery are control flow, not failure. A command that reads only the 200 branch answers "something went wrong" to a perfectly normal new user.
  4. Types by majority vote across sibling reply nodes; they disagree, and a disagreement is not an error.
  5. Array element shape from the reply node's description, then an upstream trace, then a live probe. unknown is a legitimate answer to record.
  6. Inputs from params[flags ∋ input] ∪ placeholders consumed before being produced. Payloads live in three fields: extra (api_rpc/set_param), data (api_copy), raw_body (raw api). Read all three or you will report a process as input-free when it is not.
  7. Which inputs the bot already has — chat_id, channel, and everything on User Profile. A dialog that asks for a value the bot can read is a worse bot; a dialog that asks for a token or password is a security defect.
  8. Side effects likely | unlikely | unknown, scored over the reachable-from-Start subgraph only. This gates probing and whether the command needs a confirmation step.

params[] is a hint and a cross-check, never the source of truth — it drifts, and in the reference set five of twelve processes declared zero outputs while clearly replying with data.

Phase 2b — Ground-truth probing (opt-in, user-gated)

run-task(process_path, data) returns a process's real reply — the only reliable way to resolve an unknown array shape or an undocumented envelope.

Never probe automatically. Show the side-effect classification, let the user pick which processes are safe to call with test data, and probe only those. Calling a process blind can send a real SMS or Telegram message to a real customer, or burn a real card number. Feed anything learned back into the manifest.

Report the contracts before designing

Show a contract table and explicitly flag: processes with no reachable reply node, paused processes, arrays with unknown element shape, the side-effect classification, any lopsided reachable/total node ratio, and every place params disagreed with the reply nodes — including declared inputs no node consumes.

State the evidence for any claim about the backend. "This process is broken" is a finding about someone else's system, and the payload-carrier traps make it easy to get wrong. Name the field you read.

Phase 3 — Command design, then PLAN.md

Turn N contracts into a command map with references/command_patterns.md. The three rules that carry the most weight:

  • Coverage. Every handed-in process appears in the map, in an explicit coverage table. If one genuinely does not fit the described bot, say so and ask — drop it, give it a plain command, or reshape the bot. Silent omission is the main way this skill produces a wrong result that still looks finished.
  • Six ask inputs is the practical ceiling for a chat. Every question is a place the user abandons. Past that, split the command, replace inputs the bot can read, or use a channel form — and say which you chose.
  • Every command name must be a free alias, checked now. create-alias cannot repoint an existing alias and the plugin has no delete-alias tool, so a taken name is taken for good — and a name that is only discovered to be taken in Phase 5 costs a rename that cascades through text_ids, button labels, the menu and the process title. Check the candidates against _ALIASES_.json before writing PLAN.md (command_patterns.md → "Check every name is free"), and watch for rows with obj_to_id: null — a dangling alias holds the name just as firmly as a live one. Record the result in PLAN.md, and if a preferred name is blocked, say which name you used instead and why.

PLAN.md schema

The exact schema — frontmatter fields plus the Contract summary, Coverage, Commands, Localization keys, Attachments, Menu wiring, Skipped processes, Reference materials consulted and Known unknowns / risks sections — is in references/plan_md_schema.md. Read it before writing PLAN.md for the first time in this run.

Chat summary format

Print exactly this block (≤ 16 lines) and stop:

📋 PLAN.md готов ({P} процессов → {N} команд, каналы: {channels}, языки: {locales}).
Команды: {comma-separated /command list}.
Покрытие: {covered}/{P} процессов задействовано{, не вошли: {list}}.
Контракты: {rpc_count} вызываемых, {copy_count} без ответа, {state_count} состояний, {paused} на паузе.
Источники: {local_count} переиспользовано с диска (старейший {oldest_mtime}), {pulled_count} стянуто.
Оркестратор: будет создан в стейдже {stage_id} (~150 процессов, вызов необратим).

{One bullet per entry in "Known unknowns / risks", if any.}

Что-то поправить или /corezoid-gen-bot execute?

Approval gate — Phase 4 always waits for the user

There is no auto-proceed. In every mode, print the summary and stop; enter Phase 4 only after the user answers execute / погнали / go. Phase 4 has no undo — it mints ~150 processes, and a second build on a channel token that already serves a bot takes that bot's webhook over — so the one message it costs to ask is not a trade worth making. /corezoid-gen-bot <ids> with no subcommand authorises planning the bot, not building it: the user has not seen the command map at the point they typed it.

The checklist below is not an auto-proceed condition. It is what has to hold before the plan is fit to offer for execution at all — if any item fails, say which one and what it means, and fix the plan first:

  • Known unknowns / risks is empty.
  • Every handed-in process appears in the coverage table.
  • No process is callable: api_rpc with an unresolved array shape a command renders.
  • No command reaches a likely/unknown side effect without a confirm step.
  • orchestrator.folder_id is null.

Phase 3a — Refining PLAN.md on user request

Targeted Edits, then re-print the summary. One sentence of prose at most.

  • Never re-extract for a PLAN.md edit unless the user asks for refresh mode. Use only what Phase 2 captured.
  • Asked to add a command for a process that was skipped — check Skipped processes first. Skipped for shape (paused, reply-less, too many inputs) → explain the consequence and offer the honest variant (an acknowledgement-only command, a split). Not among the handed-in processes at all → refuse; do not pull a process the user did not give you without asking.
  • Asked to remove a command — remove it from Commands, Localization keys, Attachments, Menu wiring, and move its processes to Skipped processes with reason "removed by request". Update the coverage table — it is the one section that must never silently disagree with reality.
  • Asked to rename — cascade through command, alias, process title, text_ids, attachment_ids, button payloads, Menu wiring. Re-check ^/[a-z0-9][a-z0-9-]{2,}$.
  • Asked to stop asking for an input — check §7a of contract_extraction.md for a source the bot already has; if there is none and the input is required, say so rather than dropping a required argument.
  • Do not proceed to Phase 4 until the user says execute / погнали / go.

Refresh mode

  1. Re-pull every process in sources — unconditionally, ignoring the §1.1 reuse path, because re-reading the server is the entire point of refresh — and re-run Phase 2 (including the callability gate: a process can be paused or have its reply nodes removed between runs). Ask first about any local file that is dirty in git; overwriting somebody's unpushed edit is not a refresh.
  2. Diff against bot-contract.json and Commands.
  3. New processes in a re-pulled folder → add to the contract summary and to Skipped processes with "no command planned yet". Never auto-add a command.
  4. Removed or newly paused processes → mark the dependent command ⚠️ callee no longer callable under Known unknowns / risks. Never silently delete a command.
  5. Changed contracts → update inputs, outcomes and namespacing; a lost api_rpc_reply or a new alternate outcome is a ⚠️ contract drift note.
  6. Bump extraction_timestamp, re-emit the summary with a Diff: sub-block, stop.

If orchestrator.folder_id is set, refresh changes PLAN.md only — applying the diff to the live bot is edit-bot.

Phase 4 — Build the orchestrator from the template

Read references/phase4_build_orchestrator.md before running this phase.

Preflight reads PLAN.md and bot-contract.json — every input for Phases 4–8 comes from those files, not from a fresh conversation. Channel tokens are the one exception: they are deliberately not in PLAN.md, so ask for them once, immediately before §4.1. If orchestrator.folder_id is already set, skip to Phase 5. Otherwise: call create-communications-orchestrator with apply: false to preview, show the user the preview, then repeat the call with apply: true and the printed confirm: token — this is the one irreversible step in the whole skill (~150 processes, no undo, a second build steals the webhook from the first). Then pull-folder with the stage id (never the orchestrator's own folder id), locate the orchestrator by its <folder_id>_ prefix, sanity-check the template's contracts, and record every id into PLAN.md's template_ids.

Phase 5 — Generate one process per command

Read references/phase5_generate_commands.md before running this phase.

Per entry in PLAN.md Commands: create the process, pull it for a baseline, build it from the right skeleton, wire the domain call with a ≥30 s time semaphore, namespace when a command makes 2+ calls, forward every value the outgoing message needs, substitute every {{UPPER_CASE}} placeholder (two of them — parent_id, user_id — are numeric, not string), assign fresh node ids, then layout-process → lint-process → push-process → create-alias. End every path with text_id: "" plus a non-empty attachment_id into the Router, or the reply is sent twice.

Phase 6 — Seed Localization, Attachments and the menu

Read references/phase6_seed_tasks.md before running this phase.

The template's config processes are empty state diagrams — their content is runtime task data, written with run-task/modify-task, never push-process. Seed Localization (deep_merge: true, mandatory — a shallow write drops every other language), seed Attachments per attachment_id/channel, and add every command to mainKeyboard and mainMenu, or it ships invisible. Seed serviceError explicitly — the wizard does not ship it, and both skeletons reference it on every error path.

Phase 7 — Verify, and repair

Read references/phase7_verify_repair.md before running this phase.

Four layers, cheapest first, stop at the first failure in a layer: L1 static checks (no leftover placeholders, no tokens in the tree, clean lint, every referenced text_id/attachment_id exists, and the forwarding check — the one thing L2/L3 cannot see); L2 the command process on its own via run-task, including rendering the actual message through Send Message, not just reading the command's own task data; L3 through the Router, which is the only layer that proves alias dispatch; L4 a real client where the user can send one. The reference file's repair-loop table maps a symptom straight to the layer at fault. Cap repair at about three passes per defect — report precisely what fails rather than looping quietly.

Phase 8 — APPROACH.md, then report

Read references/phase8_report.md before running this phase.

Write APPROACH.md next to PLAN.md (architecture, command table, alias and namespacing rules, known limitations, full derived contracts as an appendix — no tokens, no real chat ids). Then report in one compact block: orchestrator folder, per-channel webhook URLs the user must register by hand, the command table, coverage, one verification row per command with the observed L2/L3 result, and what the user must do next. Never report a command as working on the strength of a clean lint alone.

Rules

Full rule list, one per line with its reasoning: references/rules.md. Read it before Phase 4 — it is a checklist to re-check against, not new material. The handful that matter most, everywhere: create-communications-orchestrator builds at most once per PLAN.md (no undo, a second build steals the webhook from the first); never rename a pulled <ID>_<Title>.conv.json, hardcode a template process id, or modify a handed-in domain process or the wizard's own template processes; every api_rpc into a domain process needs a ≥30 s time semaphore and group: "" with an explicit extra, never group: "all"; tokens and credentials never touch a file; never push-process --force past a structural lint finding or call EnterPlanMode; a clean lint is not a passing test — state the evidence for any claim about the backend.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Corezoid Gen Bot AI skill do?

Generates a multi-platform messenger bot (Telegram, Viber, Apple Messages for Business, Facebook Messenger) on Corezoid from a set of EXISTING Corezoid processes plus a description of the desired bot. Use when the user has a working Corezoid backend (process ids, a folder id, or pulled .conv.json files) and wants it reachable from a chat. Runs in phases via subcommands plan/execute/refresh — see the "Modes" section. Trigger on "сделай бота из этих процессов", "сгенерируй бота", "бот на базе процессов корезоид", "telegram/viber/fbmessenger bot from corezoid processes", "corezoid gen bot", "о...

Why use Corezoid Gen Bot on TypingMind?

Because you install it once and use it with any model. Corezoid Gen Bot is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Corezoid Gen Bot in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/corezoid/corezoid-ai-plugin/tree/main/plugins/corezoid/skills/corezoid-gen-bot. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Corezoid Gen Bot?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Corezoid Gen Bot?

As many as you like. As long as a model supports skills, you can use Corezoid Gen Bot with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Corezoid Gen Bot AI skill free?

Yes. It is published on GitHub by corezoid under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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