ijfw-agents-md
Maintain canonical AGENTS.md (open spec). Trigger: 'agents.md', 'update AGENTS.md', or auto-fired by ijfw-team after agent…
@ferroxlabsInstall SkillDevelopment
Skill
/ijfw-summarize
Generate optimized project context from codebase scan. Trigger: new project, no CLAUDE.md, /ijfw-summarize
Claude Code
$ npx -y skills add FerroxLabs/ijfw --skill ijfw-summarize --agent claude-code
Codex
$ npx skills add FerroxLabs/ijfw --skill ijfw-summarize -a codex -y
Cursor
$ npx skills add FerroxLabs/ijfw --skill ijfw-summarize -a cursor -y
Gemini CLI
$ npx skills add FerroxLabs/ijfw --skill ijfw-summarize -a gemini-cli -y
GitHub Copilot
$ npx skills add FerroxLabs/ijfw --skill ijfw-summarize -a github-copilot -y
OpenCode
$ npx skills add FerroxLabs/ijfw --skill ijfw-summarize -a opencode -y
Windsurf
$ npx skills add FerroxLabs/ijfw --skill ijfw-summarize -a windsurf -y
SKILL.md
ijfw-summarize.SKILL.mdname: ijfw-summarize description: "Generate optimized project context from codebase scan. Trigger: new project, no CLAUDE.md, /ijfw-summarize" context: fork model: haiku effort: low
Scan the codebase and generate an optimized project context file.
Process
1. Read: package.json, tsconfig.json, Cargo.toml, pyproject.toml, go.mod, Dockerfile, docker-compose.yml, .env.example, Makefile -- whatever exists. 2. Scan: directory structure (2 levels deep), test framework, linter config, CI config. 3. Detect: language, framework, database, ORM, auth approach, deployment target. 4. Identify: key directories, entry points, API route patterns, shared utilities.
Output
Write a CLAUDE.md (or platform equivalent) with:
# Project Context Stack: <framework> / <language> / <database> Architecture: <pattern -- monolith, microservices, serverless, etc.> Entry: <main entry point(s)> Tests: <framework + command to run> Lint: <tool + command> ## Structure <key directories and their purpose, 1 line each> ## Patterns <established code patterns to follow, 1 line each> ## Key Files <important files a new contributor should know about>
Rules:
- Max 50 lines. This loads every session.
- No boilerplate explanations. Just facts.
- If uncertain about a pattern, omit it -- don't guess.
Stats
215
Stars
44
Forks
Active
Maintenance
JavaScript
Language
MIT
License
Last commit
Created
Ships withijfw
IJFW — It Just F*cking Works. Ferrox Labs' local-first infrastructure for AI coding agents: shared memory, smart routing, multi-AI cross-audits, disciplined workflow.
21436 skills37 agents1 MCP
Stars on GitHub
Momentum
- stars in total
- 214
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Questions about ijfw-summarize.
- Which coding agents can use ijfw-summarize?
- ijfw-summarize installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.