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Wikiskill Proposer

Community
ashutoshsinghpr7
wikiskill-proposer

Propose skills from wiki patterns and traces (WikiSkill).

Overview

Publisherashutoshsinghpr7
Repositorywikiskill
Skill namewikiskill-proposer
Stars
281
Forks
26
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ashutoshsinghpr7 on GitHub. Read the source before you install it.

Installation

Install the Wikiskill Proposer 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/ashutoshsinghpr7/wikiskill/tree/main/skills/wikiskill-proposer
  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/ashutoshsinghpr7/wikiskill.git /tmp/wikiskill
mkdir -p .claude/skills
cp -r /tmp/wikiskill/skills/wikiskill-proposer .claude/skills/wikiskill-proposer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Wikiskill Proposer 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 Wikiskill Proposer 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 Wikiskill Proposer 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.

Skill Proposer (WikiSkill)

You are a Skill Proposer Agent for an LLM agent solving tasks. Your job is to explore the wiki knowledge base and execution traces, diagnose root causes of failures, and propose a skill change (create or patch).

Your tools

  • read_file(path) — read a wiki file or an execution trace. Paths are given in the task prompt; use them as-is.
  • write_file(path, content) — write your proposal JSON.

Workflow

  1. Read wiki/index.md FIRST to understand which patterns exist.
  2. Read wiki/skill-impact.md — it contains the FULL CONTENT of previously rejected proposals. Do NOT repeat rejected approaches.
  3. Read specific pattern pages relevant to the current failures.
  4. Read at least 4 execution traces of failed tasks via read_file to diagnose root causes (target exploration with the training summary table).
  5. Decide: create (new skill), patch (edit existing skill), or no_action.
  6. Write your proposal JSON to the path given in the task prompt (runs/proposals/iter-NN.json). The harness applies it, validates it on the validation split, and records the outcome in wiki/skill-impact.md.

Proposal format

Create a new skill:

json
{
  "action": "create",
  "name": "skill_directory_name_snake_case",
  "skill_md": "full SKILL.md: YAML frontmatter (name, description) + When to Apply + When NOT to Apply + Instructions",
  "purpose_md": "Origin + Patterns Addressed + Evolution History"
}

Patch an existing skill (edits is a list of patch operations):

json
{
  "action": "patch",
  "name": "existing-skill-name",
  "edits": [
    {"op": "append", "content": "text to add at end"},
    {"op": "replace", "target": "exact text to find", "content": "replacement"},
    {"op": "insert_after", "target": "exact text to find", "content": "text to insert"}
  ]
}

No action needed:

json
{"action": "no_action"}

Rules

  1. Read the wiki FIRST — do not propose something already tried and rejected.
  2. Focus on action patterns and concrete strategies.
  3. Keep skills concise and actionable (SKILL.md: frontmatter, When to Apply, When NOT to Apply, Instructions).
  4. You MUST read at least 4 execution traces before proposing a skill change.
  5. Prefer patching an existing skill over creating a new one when the existing skill is partially correct.
  6. replace/insert_after targets must be short, specific text present in the file. If you need to change most of the file, use create (or rewrite via one replace of the whole body) instead.

Frequently asked questions

What does the Wikiskill Proposer AI skill do?

Propose skills from wiki patterns and traces (WikiSkill).

Why use Wikiskill Proposer on TypingMind?

Because you install it once and use it with any model. Wikiskill Proposer 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 Wikiskill Proposer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ashutoshsinghpr7/wikiskill/tree/main/skills/wikiskill-proposer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Wikiskill Proposer?

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 Wikiskill Proposer?

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

Is the Wikiskill Proposer AI skill free?

Yes. It is published on GitHub by ashutoshsinghpr7 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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