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Vc Autopilot

CommunityPopular
withkynam
vc-autopilot

Emit and validate the provisional goal block for Autopilot Mode. Owns the 9-field format and resume detection from a pasted goal block.

Overview

Publisherwithkynam
Repositoryvibecode-pro-max-kit
Skill namevc-autopilot
Stars
1.1K
Forks
234
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Vc Autopilot 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/withkynam/vibecode-pro-max-kit/tree/main/.claude/skills/vc-autopilot
  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/withkynam/vibecode-pro-max-kit.git /tmp/vibecode-pro-max-kit
mkdir -p .claude/skills
cp -r /tmp/vibecode-pro-max-kit/.claude/skills/vc-autopilot .claude/skills/vc-autopilot
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vc Autopilot 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 Vc Autopilot 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 Vc Autopilot 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.

vc-autopilot

Contract skill that owns the provisional goal block artifact for Autopilot Mode sessions. This skill is invoked by the orchestrator to emit, validate, and resume from the goal block. The canonical protocol lives in process/development-protocols/autopilot.md.


When To Invoke

Invoke this skill when:

  • The orchestrator has just received an autopilot trigger phrase and needs to emit the provisional goal block after the consolidated clarification round.
  • The orchestrator detects a pasted goal block at session start and needs to determine whether it is a resume scenario (goal block already present → no new clarification round).
  • The validate-autopilot-goal-block.mjs D1 validator needs to be run against an artifact.

Skill Artifact

The provisional goal block — a structured text block of ≤ 4000 characters with exactly 9 named fields. The canonical field spec lives in process/development-protocols/autopilot.md §Provisional Goal Block Format. This skill does not redefine the spec — it references it.

Required fields (exact string anchors — do not rename or abbreviate):

  1. SESSION GOAL:
  2. ENTRY PHASE:
  3. REMAINING PHASES:
  4. CLARIFICATIONS LOCKED:
  5. EXECUTE CONSENT: — must contain the literal text standing-granted
  6. DECISION POLICY:
  7. HARD STOPS:
  8. TEST GATES:
  9. START:

Emission Procedure

Step-by-step for the orchestrator:

  1. Complete the consolidated clarification round (process/development-protocols/autopilot.md §Consolidated Clarification Round).
  2. Determine ENTRY PHASE from on-disk artifact detection (autopilot.md §Trigger-Anywhere Detection Flow).
  3. Build the REMAINING PHASES checklist: for each phase not yet complete in canonical RIPER-5 order, add a [ ] checkbox line with the phase name and planned execution strategy.
  4. Fill in all 9 fields using the locked clarification answers.
  5. Count total characters. If > 4000: compress DECISION POLICY and CLARIFICATIONS LOCKED to summaries and reference autopilot.md for full detail.
  6. Print the block to chat as a fenced code block.
  7. Write the block to disk: {task-folder}/{slug}_AUTOPILOT_GOAL_{dd-mm-yy}.md (header: "Emitted: [datetime]. Provisional block. V7 will emit (UPDATE) variant.").
  8. Emit AUTOPILOT_ACTIVATED: [task] — entry phase: [phase] — goal block emitted.

Resume Detection

How the orchestrator recognizes a pasted goal block at session start:

  • If the user message contains all 9 field names as headings/labels, treat it as an autopilot resume.
  • On resume: skip the consolidated clarification round entirely. Read ENTRY PHASE and REMAINING PHASES from the pasted block. Read CLARIFICATIONS LOCKED as the already-locked decisions. Read DECISION POLICY and HARD STOPS as the standing policy.
  • Emit [MODE: AUTOPILOT | <ENTRY PHASE>] and begin the run from START:.
  • Do NOT issue a new clarification round (SPEC AC-14).

V7 UPDATE Variant

When VALIDATE V7 completes during an autopilot run, the orchestrator:

  1. Reads the real gate commands from the new validate-contract.
  2. Copies the provisional block.
  3. Prefixes SESSION GOAL: with (UPDATE) .
  4. Replaces TEST GATES: TBD — populated after VALIDATE with the actual gate commands.
  5. Updates START: to reflect post-VALIDATE state.
  6. Prints the updated block to chat.
  7. Appends an ## (UPDATE) [YYYY-MM-DD] section to the disk file (never overwrites the original).

Validator

Run after writing any goal block artifact to confirm it passes D1 checks:

bash
node .claude/skills/vc-autopilot/scripts/validate-autopilot-goal-block.mjs <artifact-path>

Exit 0 = PASS (all 9 required fields present, EXECUTE CONSENT contains standing-granted, total ≤ 4000 chars). Exit 1 = FAIL (one or more checks failed — error printed to stdout). WARN printed (exit 0) when TEST GATES: contains TBD (reminder that V7 UPDATE is pending).

See scripts/validate-autopilot-goal-block.mjs and fixtures/ for the D1 validator and pass/fail fixture pair.

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 Vc Autopilot AI skill do?

Emit and validate the provisional goal block for Autopilot Mode. Owns the 9-field format and resume detection from a pasted goal block.

Why use Vc Autopilot on TypingMind?

Because you install it once and use it with any model. Vc Autopilot 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 Vc Autopilot in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/withkynam/vibecode-pro-max-kit/tree/main/.claude/skills/vc-autopilot. 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 Vc Autopilot?

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 Vc Autopilot?

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

Is the Vc Autopilot AI skill free?

Yes. It is published on GitHub by withkynam 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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