Comet Any logo

Comet Any

OrganizationPopular
rpamis
comet-any

Create or upgrade a Comet Classic workflow Skill via Comet Creator. Not for general Skill authoring, cleanup, or review.

Overview

Publisherrpamis
Repositorycomet
Skill namecomet-any
Stars
3.1K
Forks
295
Bundled files
12
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.

  • 12 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 Any 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-any .claude/skills/comet-any
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Comet Any 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 Any 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 Any 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 Any - Skill Creator

/comet-any is the Comet Skill creation guide. The user describes the workflow they want; this Skill resolves real Skills, proposes a plan, waits for confirmation, generates a verifiable Comet-native Skill Bundle, and internally drives eval, review, publish readiness, and install preview.

Ordinary users see three starting points:

  • customize /comet-classic five-phase Skills: overlay the existing open / design / build / verify / archive Skills without modifying the permanent /comet-classic entry itself.
  • create a new workflow Skill: generate a new workflow-kernel from the goal and candidate Skills.
  • upgrade an existing Skill: read existing Skills and add Workflow Nodes, Skill Bindings, Output Schemas, Guardrails, Handoffs, eval, and readiness.

Bundle, Factory, and composition are backend audit terms, not the first-screen user model.

Core Model

Every path compiles to one Workflow Contract:

  • Workflow Node: a resumable workflow node such as open, design, plan, execute, subagent-execute, review, verify, or archive.
  • Node Responsibility: the responsibility this Node owns in the Agent workflow, explaining why it exists, what it must produce, and whether it can be replaced.
  • Skill Binding: the implementation or helper Skill bound to a Node.
  • Required Skill Call: a Skill that must be called inside a Node without replacing the Node implementation. For example, execute and subagent-execute may require elementui, while review may require whitebox-code-standard.
  • Output Schema: the artifacts, state, or evidence a Node must produce. Output Schema must be attached to a concrete Workflow Node before it is effective; defining it only in workflow.outputSchemas does not trigger guard, eval, or readiness. Scripts, eval, and readiness depend on Node-attached Output Schemas, not Skill names.
  • Guardrail: a check that blocks or allows Node advancement.
  • Handoff: evidence returned by a subagent or cross-Node delegation.
  • workflow-protocol.json: the package's single runtime source of truth, with kind comet-five-phase-overlay or workflow-kernel.

Protected Boundary

comet-five-phase-overlay preserves the Comet Classic five-phase control flow and .comet.yaml state semantics. In ordinary mode:

  • comet-five-phase-overlay primary state comes only from <classic-change-dir>/.comet.yaml bound by the Classic layout resolver; no active change or multiple active changes must block and ask the user to choose.
  • The overlay must not create .comet/runs/<workflow>/state.json as the Comet overlay primary state. Bundle drafts, eval evidence, and publish readiness may keep their own evidence files, but they cannot replace .comet.yaml.
  • control Nodes cannot be overridden: open, execute, verify, archive.
  • producer Nodes may be overridden: design, plan, but only when the replacement satisfies the matching Output Schema.
  • handoff and guardrail Nodes may require or augment Skills.
  • If the user insists on replacing a control Node, switch to advanced workflow-kernel and require a new state model, Output Schemas, and Guardrails.
  • Every Node must explain its responsibility; internal coordinates are not part of the user-facing workflow model.

Steps

  1. Resume state: run comet creator guide --project . --json and show a resume summary.
  2. Read preferences: load .comet/skill-preferences.yaml, then use comet creator candidates --json to discover real local Skills and comet skill show <name> --json to read each candidate's real content and hash. Do not guess capability from a Skill name.
  3. Build proposal: express the goal as Workflow Nodes, Skill Bindings, Output Schemas, Guardrails, Handoffs, and Evidence.
  4. Show confirmation: list each Node, bound Skill, Required Skill Call, Output Schema, executable disclosure, and readiness impact. The confirmation must show enforcement for each new binding or schema: guarded, handoff-guarded, evidence-only, or advisory.
  5. Wait for confirmation: do not write a Bundle draft before confirmation; pause for missing or ambiguous Skills.
  6. Initialize backend state: after confirmation, call comet creator init <name> --file <plan.json> --confirmed-proposal --json.
  7. Run the authoring pipeline and generate the Bundle: run comet creator authoring-plan <name> --depth quick|full --json for the lane DAG. Dispatch lanes by the DAG — dispatch wave1 (script, reference, pause-points) in parallel, dispatch wave2 (workflow-entry, skill-core) in parallel after the script contract, and run skill-review as the barrier. Record each lane via comet creator authoring-record <name> --lane <id> --file <out.json> --json (schema-validated; BLOCKED/NEEDS_CONTEXT is rejected). Then run comet creator generate <name> --json; it merges recorded content-leaf drafts (entry/node SKILL.md, decision-points, recovery) into the package while the deterministic backbone (protocol/scripts/manifest) stays templated, and renders real review evidence. Outputs entry Skill, Node Skills, reference/workflow-protocol.json, the six scripts, rules, hooks, and comet/eval.yaml.
  8. Validate: show quick/full eval workload and run or record current draft hash eval evidence; failed eval, skipped eval, or stale-hash evidence cannot become ready.
  9. Review readiness: read comet publish review <name> --platform <reference-platform> --json and show Readiness:, Blockers:, Warnings:, and Evidence:.
  10. Publish and install preview: publish only after human approval; installation must start with preview and show No files were written.

Plan Example

Component-library and whitebox-review requirements should produce a plan like:

json
{
  "goal": "Customize /comet-classic five-phase Skills with component and whitebox review requirements.",
  "skillCreatorIntent": "customize-comet",
  "workflow": {
    "kind": "comet-five-phase-overlay",
    "name": "team-comet",
    "goal": "Require component and whitebox review Skills.",
    "nodes": {
      "execute": {
        "requiredSkillCalls": [
          {
            "skill": "elementui",
            "reason": "Use project component library during direct implementation."
          }
        ]
      },
      "subagent-execute": {
        "requiredSkillCalls": [
          {
            "skill": "elementui",
            "scope": "handoff"
          }
        ]
      },
      "review": {
        "requiredSkillCalls": [
          {
            "skill": "whitebox-code-standard",
            "scope": "review"
          }
        ]
      }
    }
  }
}

Hard Rules

  • Show the proposal confirmation page before generation.
  • The confirmation must show enforcement for each new binding or schema: guarded, handoff-guarded, evidence-only, or advisory.
  • A Required Skill Call does not replace Node implementation.
  • A producer override must declare the Output Schema it satisfies.
  • Output Schema must be attached to a concrete Workflow Node before it is effective; defining it only in workflow.outputSchemas does not trigger guard, eval, or readiness.
  • Ordinary mode must not override control Nodes.
  • Eval, review, and publish readiness must read the same workflow-protocol.json.
  • Readiness blockers must stop publish: missing current draft hash eval evidence, missing human approval, required capability gaps, or unconfirmed executable disclosures cannot become ready.
  • Handoff must require subagents to load Required Skill Calls and return evidence.
  • Scripts read protocol and state; they do not use Skill names as validation authority.
  • Ask before installation. Never install automatically.

References

  • comet-any/reference/authoring-protocol.json
  • comet-any/reference/authored-zone-example.md
  • comet-any/reference/bundle-authoring.md
  • comet-any/reference/authoring-subagents.md
  • comet-any/reference/eval-provider.md

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 Any AI skill do?

Create or upgrade a Comet Classic workflow Skill via Comet Creator. Not for general Skill authoring, cleanup, or review.

Why use Comet Any on TypingMind?

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

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

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 Any?

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

Is the Comet Any 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇