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Comet Classic

OrganizationPopular
rpamis
comet-classic

Comet Classic workflow entry. Use when the user explicitly invokes /comet-classic, asks to start or resume Classic, or resume-probe returns auto_resume for one unambiguously recoverable active Classic change.

Overview

Publisherrpamis
Repositorycomet
Skill namecomet-classic
Stars
3.1K
Forks
295
Bundled files
13
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.

  • 13 bundled files

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

  • Open source

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

Installation

Install the Comet Classic 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.
  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/rpamis/comet.git /tmp/comet
mkdir -p .claude/skills
cp -r /tmp/comet/assets/skills/comet-classic .claude/skills/comet-classic
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Comet Classic 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 Comet Classic 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 Comet Classic 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.

Comet Classic — OpenSpec + Superpowers

Classic has five phases: Open → Design → Build → Verify → Archive. OpenSpec manages specifications and archiving. Superpowers provides design methods and the planning, execution, and review methods selected by the user. The full workflow requires brainstorming and design confirmation; hotfix/tweak follow their preset steps.

1. Resolve the Target and Workspace

Before starting or recovering, use comet-classic/reference/classic-layout.md to resolve logical artifact paths, and read “CLI Bootstrap” in comet-classic/reference/scripts.md. Call the public Comet CLI and use its OpenSpec adapter for OpenSpec commands. Read only the reference sections needed for the current action. Reuse instructions already in context that remain valid; a reference to one section does not require reading the rest of the file.

  • When Classic was not explicitly invoked and existing work may need to resume: read Ambient Resume in comet-classic/reference/context-recovery.md and follow comet resume-probe . --stdin --json. Only auto_resume enters automatically; ask_user waits for a choice; out_of_scope/none does not enter.
  • When starting a new request or the target change is unclear: read the minimal example and target-selection rules in comet-classic/reference/intent-frame.md. List active changes, fill a CometIntentFrame, and run comet classic intent route --stdin. The Agent extracts intent fields from evidence; Runtime computes the route. Follow its result without inventing a separate set of prose scoring rules.
  • When the target change is explicit: bind its workspace below. Do not bind early when several active changes exist and none has been selected.
bash
comet classic workspace resolve <change-name> --json
# Enter the returned projectRoot before selecting the change
comet state select <change-name>
comet state next <name> --json

Continue from the returned phase, configuration, and next route. Send a new full change to /comet-open, which prepares the workspace and creates OpenSpec artifacts and .comet.yaml. Send confirmed hotfix/tweak choices to /comet-hotfix or /comet-tweak for their own initialization steps. Do not call /opsx:new directly. If an existing change has no state file, follow “Entry Errors and Recovery” in context-recovery.md to establish its workflow and recover. Report malformed state rather than guessing a phase from existing artifacts.

A new full change must have its workspace selected before Open creates artifacts. Full-workflow isolation may be current, branch, or worktree; prepare a Worktree for explicit parallel-work requests, and otherwise follow comet-classic/reference/workspace.md. Hotfix/tweak confirm and bind workspaces during their own initialization. Resume in the bound workspace. If branch ownership has changed, rebind according to the user's confirmed choice; ask only when valid authorization is missing.

2. Load the Current Phase

While working on the same set of tasks, reuse state returned by the current commands and context already read. Refresh only as needed after a state write, workspace switch, session recovery, or external change; reuse valid state included in the successful result. Select checks according to the risk of the current changes; Verify still owns one final integrated review of the completed implementation.

After binding the workspace and obtaining phase, read and follow Task Context and Artifact Language, and run comet task. Use the configured artifact language. Start from Context Manifest summaries and expand only information still missing for the current step. Report outcomes truthfully after actually using an item, and save a checkpoint at task end.

Memory learning submits only reusable user information; never save task summaries, progress, command output, or test results as Personal Memory. Complete the learning check in the task context reference before task completion and record submitted, no-observation, or not-run.

Runtime route or phaseEntry and responsibility
new full / open/comet-open: clarify scope, create required artifacts, and obtain the user's review and confirmation
design/comet-design: resolve technical tradeoffs and confirm the formal design
build + full/comet-build: recover configuration/plan, complete tasks and required reviews
hotfix / build + hotfix/comet-hotfix: repair a localized existing defect
tweak / build + tweak/comet-tweak: make a lightweight adjustment within one change
verify/comet-verify: run acceptance checks, reverify repairs, and perform the only final integrated review
archive / verify_result: pass/comet-archive: confirm archiving, commit only this change's files, and complete the selected delivery method

Recommend a lightweight workflow only for a new request. Enter directly when its risk fits the preset and the user has explicitly selected it. When the Agent makes the recommendation, explain why, present hotfix/tweak and full with their effects, and wait for confirmation. Never silently downgrade an existing full change. Assess public APIs, data migrations, security, concurrency, and cross-module design by their actual risks; a small file count does not waive necessary steps.

When running hotfix/tweak, read the chosen preset's escalation rules. If a listed condition occurs or the changed-file count exceeds the advisory threshold, present the choice to continue the preset or upgrade to full, and wait for an answer. Run comet state transition <name> preset-escalate only after the user chooses to upgrade. verify_mode determines verification depth; it does not select the workflow or replace escalation confirmation.

On session recovery, external changes, or discrepancies between actual work and plan, task, review, or delivery records, read comet-classic/reference/context-recovery.md. Use nextAction from the current phase entry to identify unfinished steps. Reuse valid configuration and work; an unchecked task is not proof that implementation is missing. Follow that reference for the recovery procedure.

3. Complete the Work Authorized for This Invocation

After phase exit checks pass, follow comet-classic/reference/auto-transition.md: read agent.continuation from the successful result and load only its next Skill. Query again only when reusable state is unavailable, session recovery lacks context, or external state changes. auto_transition: false controls the next Skill invocation, not the phase already advanced by Guard. For NEXT: manual, show HINT and end the invocation without adding a confirmation question.

Decision points block dependent work until the user answers explicitly. Before the first clarification or confirmation, read comet-classic/reference/decision-point.md and follow its options, recommendation reasons, per-option effects, and AskUserQuestion priority. Reuse it when already in context. Automatic handoff or a single recommended solution cannot skip these confirmations:

  • If the target change, PRD split, or workspace isolation still needs a choice, ask related questions together and wait.
  • At the end of Open, obtain final confirmation of the name, scope, and artifacts. After Design develops a proposal, obtain confirmation of the formal design. In both cases, present a reviewable result before waiting for approval or requested adjustments.
  • Before Build writes a plan, ask about execution/TDD/review configuration only when it is missing or the user requests a change. After a user-requested plan-ready pause, wait for an explicit instruction to continue.
  • In Verify, ask when accepting deviations, resolving implementation/Spec disagreement, or choosing how to proceed after the automatic-repair limit. In Archive, confirm archiving and the delivery method.
  • Ask when upgrading a preset to the full workflow, or when Build needs to expand scope, redesign, or split a change.

Before an explicit choice, do not write state or execute branch operations that depend on it, and do not bypass phase Guards. Reuse valid authorization and configuration. Automatically handle in-scope failures with a known repair, state that can be reconciled from evidence, and other steps with only one valid action; do not add “continue?” questions.

Archive and delivery method are combined into one final confirmation. /comet-archive checks authorization, actual Git state, and completion of the selected delivery actions. Passing verification does not authorize archiving; an archive directory does not prove that a commit, push, or PR is complete.

Rules for Every Phase

  • Use Runtime phase, Guard results, and the current workspace binding to determine workflow state. Files and conversation help reconcile it; they do not authorize editing phase by hand to bypass confirmation or verification.
  • proposal records goals and scope; spec defines behavior and acceptance; design_doc points to the single formal technical design; plan describes implementation; tasks.md records task completion.
  • Follow the confirmed execution, TDD, and review configuration. Autonomous still requires full-workflow design, planning, real verification, and independent review. Build confirms missing or user-requested configuration changes; never replace configuration based on a model name.
  • Attribute uncommitted changes using comet-classic/reference/dirty-worktree.md. Handle only the current change and protect unrelated work. For rejected state updates, path escapes, unavailable dependencies, or unclear ownership, read “Entry Errors and Recovery” in comet-classic/reference/context-recovery.md, report the original error, and follow the matching recovery rule.
  • For failures in the current phase, read comet-classic/reference/debug-gate.md and investigate before fixing. Claim a test or build result only after actually running it. Reuse an earlier pass only when Runtime confirms it is still valid.

Read comet-classic/reference/comet-yaml-fields.md for state-field meanings and comet-classic/reference/file-structure.md for artifact directories. Read other references only when their triggers above apply.

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 Comet Classic AI skill do?

Comet Classic workflow entry. Use when the user explicitly invokes /comet-classic, asks to start or resume Classic, or resume-probe returns auto_resume for one unambiguously recoverable active Classic change.

Why use Comet Classic on TypingMind?

Because you install it once and use it with any model. Comet Classic 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 Comet Classic in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rpamis/comet/tree/master/assets/skills/comet-classic. 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 Comet Classic?

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 Comet Classic?

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

Is the Comet Classic AI skill free?

Yes. It is published on GitHub by rpamis 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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