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Vc Generate Plan

CommunityPopular
withkynam
vc-generate-plan

Create or update implementation plans in the repo's SIMPLE or COMPLEX format. Use when turning an idea, PRD, or approved direction into a saved plan artifact.

Overview

Publisherwithkynam
Repositoryvibecode-pro-max-kit
Skill namevc-generate-plan
Stars
1.1K
Forks
234
Bundled files
4
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.

  • 4 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 Generate Plan 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-generate-plan
  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-generate-plan .claude/skills/vc-generate-plan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vc Generate Plan 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 Generate Plan 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 Generate Plan 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.

Generate Plan

Output style: write the plan answer-first with tables/bullets and a one-line TL;DR per the canonical rule — process/development-protocols/communication-standards.md.

Use this skill to produce the authoritative implementation plan artifact set for the project's work.

This skill is the canonical planning contract for the repo. Planning discipline previously spread across vc-plan now belongs here plus the plan-agent prompt.

Normal output is one plan file.

For large multi-phase programs, this skill instead defines how to create an umbrella plan plus phase-plan set under one feature folder. See process/development-protocols/phase-programs.md.

Optional input: a feature idea plus simple or complex when the user already knows the intended depth.

Workflow

  1. Read references/generate-plan.md for the full plan contract.
  2. Run date +%d-%m-%y before choosing the filename.
  3. If complexity is not obvious, ask whether the plan is SIMPLE or COMPLEX.
  4. Save the plan inside a task folder: process/general-plans/active/{slug}_{date}/{slug}_PLAN_{date}.md (or process/features/{feature}/active/{slug}_{date}/{slug}_PLAN_{date}.md). Create the {slug}_{date}/ subfolder first. Per task-folder artefact colocation, every artefact this plan produces — the plan, any {slug}_SPEC_{date}.md, reports, and references — lives INSIDE this same task folder; never write to the deprecated sibling reports/ or references/ dirs.
  5. Read process/context/all-context.md when present to choose relevant context docs.
  6. For complex plans, read .claude/skills/vc-generate-plan/references/example-complex-prd.md before writing.
  7. Include automated and manual verification gates from process/context/tests/all-tests.md.
  8. For new or newly touched direct *_PLAN_*.md plans, include explicit sections for Touchpoints, Public Contracts, Blast Radius, Verification Evidence, Test Infra Improvement Notes, and Resume and Execution Handoff.
  9. Keep resume/dependency notes Markdown-structured for now; do not invent a second machine-only schema.
  10. If the work is a large multi-phase program, create or update a feature folder plan set:
  • one umbrella/orchestration plan
  • one direct plan file per phase
  • one durable report destination per phase
  1. Validate the generated artifact:
bash
node .claude/skills/vc-generate-plan/scripts/validate-plan-artifact.mjs <plan-path>

Important Rules

  • For standard work, create exactly one plan file.
  • For a phase program, create one umbrella plan plus one direct plan file per phase.
  • Prefer process/features/{feature}/active/{slug}_{date}/ task folder when the topic maps to an existing feature folder.
  • Keep phase status honest: code-only completion is CODE DONE, not VERIFIED.
  • Make execution trust explicit inside the plan: what code or data can change, what contracts are exposed, what proof is required, and how EXECUTE should resume after compaction.
  • End with the next instruction for RIPER-5 or Cursor Plan mode.
  • Treat validation failures as blockers before presenting the plan as ready.
  • Fold red-team questions, dependency mapping, verification gates, and ambiguity checks into the generated plan itself instead of relying on a parallel plan-owner workflow.
  • Do not hide a large program inside one giant plan if execution will actually happen phase by phase.
  • Preserve the older complex-plan behavior by keeping pre-phase research and proof gates inside each phase plan; the new protocol changes the artifact shape, not the rigor.

Required Plan Sections

For new or newly touched direct *_PLAN_*.md files, include all of the following sections:

  • Touchpoints — files, packages, or services that will be changed or read
  • Public Contracts — interfaces, APIs, schemas, or behaviors visible to other packages or callers
  • Blast Radius — the scope of change: how many files, which packages, and what risk class
  • Verification Evidence — table with columns | Gate / Scenario | Strategy | Proves SPEC criterion |; each row maps a test gate to the SPEC acceptance criterion it proves and the strategy (Fully-Automated / Hybrid / Agent-Probe)
  • Test Infra Improvement Notes — placeholder at plan-write time ("(none identified yet)"); updated with test infrastructure gaps found during vc-test-coverage-plan and EVL
  • Resume and Execution Handoff — required sub-fields:
    1. selected plan file path
    2. last completed phase or step
    3. validate-contract status (written / skipped with reason / pending)
    4. supporting context files loaded
    5. next step for a fresh agent picking up mid-execution
  • Validate Contract — written by vc-validate-agent after VALIDATE runs; leave a placeholder heading during PLAN (## Validate Contract\n\n(placeholder — vc-validate-agent writes this section before EXECUTE))

Use Markdown-structured sections, not a second machine-only schema. Markdown sections are stable across all agents (Claude, Codex, future systems) without requiring a parser.

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 Generate Plan AI skill do?

Create or update implementation plans in the repo's SIMPLE or COMPLEX format. Use when turning an idea, PRD, or approved direction into a saved plan artifact.

Why use Vc Generate Plan on TypingMind?

Because you install it once and use it with any model. Vc Generate Plan 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 Generate Plan 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-generate-plan. 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 Generate Plan?

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 Generate Plan?

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

Is the Vc Generate Plan 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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