Vc Plan Discovery logo

Vc Plan Discovery

CommunityPopular
withkynam
vc-plan-discovery

Discover related plans for the current task: same feature folder full depth, other features active-only, general-plans active. Like vc-context-discovery but for plan artifacts.

Overview

Publisherwithkynam
Repositoryvibecode-pro-max-kit
Skill namevc-plan-discovery
Stars
1.1K
Forks
234
Bundled files
2
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.

  • 2 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 Plan Discovery 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-plan-discovery
  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-plan-discovery .claude/skills/vc-plan-discovery
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vc Plan Discovery 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 Plan Discovery 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 Plan Discovery 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-plan-discovery

Output style: Follow process/development-protocols/communication-standards.md — answer-first, plain language, no unexplained jargon, TL;DR on long responses.

Invocation

Primary method — run the auto-discovery script. It applies the Scope Rules below (same-feature full depth; other features active-only; general-plans active always) and extracts ONLY the leading YAML frontmatter block of each .md file (no whole-file reads):

bash
node .claude/skills/vc-plan-discovery/scripts/discover-plans.mjs [--feature <name>] [--json]

It groups output into Active Plans / Backlog / Completed / Reports / References (each line: - [name]: description (path)) and prints a trailing Found N active, N backlog, N completed, N reports, N references line. It never throws on a missing root and exits 0 unless given a bad flag. Use --json for a machine-readable object. Prefer this over the manual scan below — it is deterministic and avoids loading huge files into context.

Per task-folder artefact colocation, the script scans one level into each {slug}_{date}/ task folder and surfaces co-located _PLAN_/_REPORT_/_REF_ artefacts; the sibling reports//references/ dirs are deprecated and only hold legacy artefacts.

The manual scan in Scope Rules below is the FALLBACK for when the script fails.

Purpose

Surface all plans relevant to the current task so agents have full plan context — what was tried, what is in progress, what is deferred, and what reports and references exist — before doing any phase work.

Scope Rules

  • Same feature folder (from task context or argument): read ALL of active/, backlog/, completed/, plus any legacy sibling reports/, references/ — surface every file with frontmatter
  • Other feature folders: read active/ only — surface plans whose frontmatter description or feature field matches the task domain
  • general-plans/active/: always scan
  • general-plans/completed/, legacy reports/, references/: scan only when same-feature folder is not identified

Per task-folder artefact colocation, expect every current artefact (plan, spec, reports, references) INSIDE its {slug}_{date}/ task folder — scan one level into each task folder. The sibling reports//references/ dirs are deprecated and only hold legacy artefacts.

Frontmatter Reading

Read frontmatter fields: name, description, type, feature, phase

Route by description field for relevance matching (same approach as vc-context-discovery).

Skip files without frontmatter or with incomplete frontmatter — log as "no frontmatter, skipped".

Output: grouped list by folder — Active Plans / Backlog / Completed / Reports / References — with name + description per file.

When To Invoke

  • First action alongside vc-context-discovery at the start of every loop step (research / validate / execute / update-process)
  • Any time an agent needs to know: what plans exist for this feature, what was tried before, what is deferred, what references exist

Output Format

### Active Plans
- [name]: description (path)

### Backlog
- [name]: description (path)

### Completed
- [name]: description (path)

### Reports
- [name]: description (path)

### References
- [name]: description (path)

Found N active, N backlog, N completed, N reports, N references

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 Plan Discovery AI skill do?

Discover related plans for the current task: same feature folder full depth, other features active-only, general-plans active. Like vc-context-discovery but for plan artifacts.

Why use Vc Plan Discovery on TypingMind?

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

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 Plan Discovery?

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

Is the Vc Plan Discovery 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.

View all

Set up your own AI workspace now

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