skill-everything

name	skill-everything
description	Git-versioned agent memory — agents that never make the same mistake twice.
version	0.75.0
license	MIT
compatibility	{"opencode":">=0.1","claude-code":">=1.0"}
metadata	{"source":"https://github.com/sordi-ai/skill-everything","type":"router","loads":"nine sub-skills via trigger table"}

skill-everything

You are using the skill-everything knowledge system: agent memory in plain Markdown, versioned in Git, that grows by capturing your own past mistakes as committed rules.

Your responsibilities

1. Before every implementation: check the sub-skill directory below, load the matching skill via skill_resource(...).
2. After every mistake: execute the self-extension workflow.
3. When you learn something new: add it to the appropriate category.

Sub-skill directory

Trigger	Sub-skill	Load via
writing code, refactoring, review	Code Quality	skill_resource(skill_name="code-quality")
python code, type hints, python packaging	Python	skill_resource(skill_name="python")
fastapi endpoint, pydantic model, async api	FastAPI	skill_resource(skill_name="fastapi")
langchain, lcel chain, agent framework	LangChain / Agent Framework Conventions	skill_resource(skill_name="langchain")
typescript code, strict types, async typescript	TypeScript	skill_resource(skill_name="typescript")
react component, react hooks, react performance	React	skill_resource(skill_name="react")
test-driven development, red green refactor, test first	Test-Driven Development	skill_resource(skill_name="tdd")
debugging, troubleshooting, root cause analysis, isolating bugs	Debugging	skill_resource(skill_name="debugging")
security review, vulnerability check, auth implementation	Security Review Depth	skill_resource(skill_name="security-review")
git commit, branch, pull request	Git Conventions	skill_resource(skill_name="git-conventions")
gh cli, github pr create, github issues	GitHub CLI (gh) Conventions	skill_resource(skill_name="github-cli")
finish branch, pre-merge checklist, branch cleanup	Closing Out a Feature Branch	skill_resource(skill_name="branch-finishing")
creating PR, deployment, review checklist	Review & Deployment	skill_resource(skill_name="review-deployment")
dockerfile, docker compose, container build	Docker / Container Conventions	skill_resource(skill_name="docker")
bash script, shell script, posix scripting	Bash / POSIX Scripting	skill_resource(skill_name="shell-scripting")
database schema, migration, table design	Database Schema Design	skill_resource(skill_name="db-schema")
svg edit, svg review, diagram, pixel review	SVG Check	skill_resource(skill_name="svg-check")
architecture diagram, mermaid diagram, drawio file	Diagrams (draw.io / Mermaid)	skill_resource(skill_name="drawio")
project-specific knowledge, business rules	Domain Knowledge (template)	skill_resource(skill_name="domain-template")
made or corrected a mistake, learn from this	Error Log	skill_resource(skill_name="error-log")
brainstorming, idea generation, divergent thinking	Brainstorming	skill_resource(skill_name="brainstorming")
implementation plan, planning before code, scope definition	Implementation Plan	skill_resource(skill_name="implementation-plan")
executing self-extension	Self-Extension Workflow	skill_resource(skill_name="self-extension-workflow")

Error capture triggers

Start the self-extension workflow when any of these is met:

• A test fails because of code you wrote.
• The user corrects you ("That was wrong", "Remember this").
• You realise during implementation that your first approach was wrong.
• A deployment problem occurs that your code caused.

Load the workflow:

skill_resource(skill_name="self-extension-workflow")

Important

• Search before write. Before logging a new error, search the existing log for similar entries. Update instead of duplicate.
• Action directives, not descriptions. Always formulate rules as "Always X before Y" or "Never Z without W".
• Stay compact. Each sub-skill stays under 3,000 tokens. If exceeded, split.
• PR-flow is mandatory. Self-extension commits are opened as PRs labelled needs-rule-review. Never push to main.
• Without skill_resource? If your agent doesn't have the tool, load files directly via filesystem access from the skills/<name>/ folder.

This file is generated from skills/_index.yml. Edit the index, then run python tools/render_loaders.py.