/ijfw-summarize
Generate optimized project context from codebase scan. Trigger: new project, no CLAUDE.md, /ijfw-summarize
$ npx -y skills add FerroxLabs/ijfw --skill ijfw-summarize --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/ijfw-summarize
Context preview
The summary Claude sees to decide when to auto-load this skill.
Generate optimized project context from codebase scan. Trigger: new project, no CLAUDE.md, /ijfw-summarize
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.
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.
Repo: FerroxLabs/ijfw
Other skills on ijfw.
- /ijfw-agents-md
Maintain canonical AGENTS.md (open spec). Trigger: 'agents.md', 'update AGENTS.md', or auto-fired by ijfw-team after agent generation.
Open skill - /ijfw-auto-memorize
Session-end auto-extraction of lessons, errors, fixes, and user feedback into structured memory. Fires at session end. Requires consent on first run.
Open skill - /ijfw-commit
Terse conventional commits. Trigger: commit, git commit, /ijfw-commit
Open skill - /ijfw-complete-milestone
Use when a milestone is shipping and you need to archive its artifacts, generate a summary, and seed the next milestone. Trigger: 'milestone complete', 'ship milestone', 'wrap milestone', 'complete milestone <id>', /ijfw-complete-milestone.
Open skill - /ijfw-compress
Compress memory/context files into terse form. Trigger: /compress, compress file
Open skill - /ijfw-compute
Use when the user says: 'compute', 'crunch this', 'analyze logs', 'aggregate the data', 'run a script', 'dedupe', 'count by', 'top N', or any data-shaping ask. Replaces dumping raw data into context with sandboxed script execution.
Open skill

