Agent skill

Convention Extraction

by Habitat-Thinking in Habitat-Thinking/ai-literacy-superpowers

A skill your agent uses when setting up a new project's conventions, onboarding AI to an existing codebase, after team composition changes, or when AI output quality varies depending on who prompts…

Custom licenceAuto-check passedAgent Workflows

Install Convention Extraction

skills CLI
$ npx skills add Habitat-Thinking/ai-literacy-superpowers --skill convention-extraction -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Habitat-Thinking/ai-literacy-superpowers convention-extraction --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Habitat-Thinking/ai-literacy-superpowers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ai-literacy-superpowers/skills/convention-extraction .claude/skills/convention-extraction && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
convention-extraction
GitHub stars
114
Token cost
~1.6k tokens
SKILL.md length
728 words
Files
2 (incl. references)
Skills in repo
42
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses when setting up a new project's conventions, onboarding AI to an existing codebase, after team composition changes, or when AI output quality varies depending on who prompts…

  • Works in 4 steps: Role Definition → Context Requirements → Categorised Standards → …
  • Setting up a new projects conventions
  • SKILL.md covers When to Extract, The Five Extraction Questions, Mapping Answers to Artefacts and The Four-Element Anatomy, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Convention Extraction is an agent skill from Habitat-Thinking/ai-literacy-superpowers. Use when setting up a new project's conventions, onboarding AI to an existing codebase, after team composition changes, or when AI output quality varies depending on who prompts — guides structured discovery of tacit team knowledge into explicit, enforceable artefacts

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/extraction-interview-guide.md`).

It sits in Agent Workflows. The repository describes itself as: A set of Claude Code and GitHub Copilot plugins providing the AI Literacy framework's complete development workflow — harness engineering, agent orchestration, literate….

When your agent uses it

  • Setting up a new projects conventions
  • Onboarding AI to an existing codebase
  • After team composition changes
  • AI output quality varies depending on who prompts — guides structured discovery of tacit team knowledge into explicit

Example prompts

  • “/convention-extraction”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Role Definition
  2. Context Requirements
  3. Categorised Standards
  4. Output Format

What it can do on your machine

Read from SKILL.md and the folder at commit 9d35995. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Convention Extraction loads about 1.6k tokens when it runs, and up to ~3.3k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 728 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 728 words (~1,583 tokens).

“Most team conventions live in people's heads — pattern recognition built from years of reviews, production incidents, and architectural discussions. They transfer slowly through pairing and code review, and walk out the door when someone leaves. AI amplifies this: without…”

— opening of SKILL.md by Habitat-Thinking, Custom licence
name
convention-extraction

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (references) in ai-literacy-superpowers/skills/convention-extraction of Habitat-Thinking/ai-literacy-superpowers.

  • SKILL.md
  • references/extraction-interview-guide.md

Open the folder on GitHubat commit 9d35995

Compare with similar skills

Convention Extraction next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Convention Extraction compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Convention Extraction this skillHabitat-Thinking/ai-literacy-superpowers114—~1.6kAutomated safety check: PassCustom licence
Orca CLIstablyai/orca89k2 repos~593Automated safety check: PassMIT
OpenSpec Guided OnboardingFission-AI/OpenSpec72k1 repos~4.5kAutomated safety check: PassMIT
Brainstormingobra/superpowers297k1 repos~2.5kAutomated safety check: PassMIT
Claude Code Plugin Structureanthropics/claude-plugins-official38k10 repos~3.4kAutomated safety check: PassApache-2.0
Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills21k—~1.9kAutomated safety check: PassMIT

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Questions about Convention Extraction

What does Convention Extraction do?

A skill your agent uses when setting up a new project's conventions, onboarding AI to an existing codebase, after team composition changes, or when AI output quality varies depending on who prompts…. Convention Extraction is an agent skill from Habitat-Thinking/ai-literacy-superpowers.

When should I use Convention Extraction?

Convention Extraction fits situations like: setting up a new projects conventions; onboarding AI to an existing codebase; after team composition changes; AI output quality varies depending on who prompts — guides structured discovery of tacit team knowledge into explicit.

How do I install Convention Extraction in Claude Code?

Run `npx skills add Habitat-Thinking/ai-literacy-superpowers --skill convention-extraction -a claude-code`. Or copy the skill folder (ai-literacy-superpowers/skills/convention-extraction in Habitat-Thinking/ai-literacy-superpowers) into .claude/skills/convention-extraction in your project. Claude Code loads it when a task matches its description.

How do I install Convention Extraction in Codex?

Run `npx skills add Habitat-Thinking/ai-literacy-superpowers --skill convention-extraction -a codex`. Or copy the skill folder (ai-literacy-superpowers/skills/convention-extraction in Habitat-Thinking/ai-literacy-superpowers) into .agents/skills/convention-extraction in your project. Codex loads it when a task matches its description.

Can I use Convention Extraction in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Habitat-Thinking/ai-literacy-superpowers --skill convention-extraction -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/convention-extraction, .gemini/skills/convention-extraction, .github/skills/convention-extraction and .opencode/skills/convention-extraction in your project.

What does Convention Extraction need to run?

SKILL.md names no scripts, command-line tools or credentials: Convention Extraction is instructions for the agent only.

Does Convention Extraction access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Convention Extraction safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Convention Extraction use?

Convention Extraction has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Convention Extraction use?

About 1.6k tokens (SKILL.md is roughly 6.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.7k tokens, read only when the agent opens those files.

What are the alternatives to Convention Extraction?

Skills that share tags, products or a category with Convention Extraction: Orca CLI (stablyai/orca, 89k stars), OpenSpec Guided Onboarding (Fission-AI/OpenSpec, 72k stars), Brainstorming (obra/superpowers, 297k stars) and Claude Code Plugin Structure (anthropics/claude-plugins-official, 38k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Convention Extraction?

Habitat-Thinking (a GitHub organization) maintains it in Habitat-Thinking/ai-literacy-superpowers, which has 114 GitHub stars. The repository holds 42 skills in this directory. The repository was last updated on September 20, 2026.

Source: Habitat-Thinking/ai-literacy-superpowers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.