Files
AGENTS/AGENTS.md
m3tm3re 39ac89f388 docs: update AGENTS.md and README.md for rules system, remove beads
- Add rules/ directory documentation to both files
- Update skill count from 25 to 15 modules
- Remove beads references (issue tracking removed)
- Update skills list with current active skills
- Document flake.nix as proper Nix flake (not flake=false)
- Add rules system integration section
- Clean up sisyphus planning artifacts
- Remove deprecated skills (memory, msteams, outlook)
2026-03-03 19:40:57 +01:00

4.5 KiB

Opencode Skills Repository

Configuration repository for Opencode Agent Skills, context files, and agent configurations. Deployed via Nix home-manager to ~/.config/opencode/.

Quick Commands

# Skill validation
./scripts/test-skill.sh --validate   # Validate all skills
./scripts/test-skill.sh <skill-name>  # Validate specific skill
./scripts/test-skill.sh --run        # Test interactively

# Skill creation
python3 skills/skill-creator/scripts/init_skill.py <name> --path skills/

Directory Structure

.
├── skills/          # Agent skills (15 modules)
│   └── skill-name/
│       ├── SKILL.md         # Required: YAML frontmatter + workflows
│       ├── scripts/         # Executable code (optional)
│       ├── references/      # Domain docs (optional)
│       └── assets/          # Templates/files (optional)
├── rules/           # AI coding rules (languages, concerns, frameworks)
│   ├── languages/   # Python, TypeScript, Nix, Shell
│   ├── concerns/    # Testing, naming, documentation, etc.
│   └── frameworks/  # Framework-specific rules (n8n, etc.)
├── agents/          # Agent definitions (agents.json)
├── prompts/         # System prompts (chiron*.txt)
├── context/         # User profiles
├── commands/        # Custom commands
└── scripts/         # Repo utilities (test-skill.sh, validate-agents.sh)

Code Conventions

File naming: hyphen-case (skills), snake_case (Python), UPPERCASE/sentence-case (MD)

SKILL.md structure:

---
name: skill-name
description: "Use when: (1) X, (2) Y. Triggers: a, b, c."
compatibility: opencode
---

## Overview (1 line)
## Core Workflows (step-by-step)
## Integration with Other Skills

Python: #!/usr/bin/env python3 + docstrings + emoji feedback (/) Bash: #!/usr/bin/env bash + set -euo pipefail Markdown: YAML frontmatter, ATX headers, - lists, language in code blocks

Anti-Patterns (CRITICAL)

Frontend Design: NEVER use generic AI aesthetics, NEVER converge on common choices Excalidraw: NEVER use label property (use boundElements + text element pairs instead) Debugging: NEVER fix just symptom, ALWAYS find root cause first Excel: ALWAYS respect existing template conventions over guidelines Structure: NEVER place scripts/docs outside scripts/references/ directories

Testing Patterns

Unique conventions (skill-focused, not CI/CD):

  • Manual validation via test-skill.sh, no automated CI
  • Tests co-located with source (not separate test directories)
  • YAML frontmatter validation = primary quality gate
  • Mixed formats: Python unittest, markdown pressure tests, A/B prompt testing

Known deviations:

  • systematic-debugging/test-*.md - Academic/pressure testing in wrong location
  • pdf/forms.md, pdf/reference.md - Docs outside references/

Deployment

Nix flake pattern:

agents = {
  url = "git+https://code.m3ta.dev/m3tam3re/AGENTS";
  inputs.nixpkgs.follows = "nixpkgs";  # Optional but recommended
};

Exports:

  • packages.skills-runtime — composable runtime with all skill dependencies
  • devShells.default — dev environment for working on skills

Mapping (via home-manager):

  • skills/, context/, commands/, prompts/ → symlinks
  • agents/agents.json → embedded into config.json
  • Agent changes: require home-manager switch
  • Other changes: visible immediately

Rules System

Centralized AI coding rules consumed via mkOpencodeRules from m3ta-nixpkgs:

# In project flake.nix
m3taLib.opencode-rules.mkOpencodeRules {
  inherit agents;
  languages = [ "python" "typescript" ];
  frameworks = [ "n8n" ];
};

See rules/USAGE.md for full documentation.

Notes for AI Agents

  1. Config-only repo - No compilation, no build, manual validation only
  2. Skills are documentation - Write for AI consumption, progressive disclosure
  3. Consistent structure - All skills follow 4-level deep pattern (skills/name/ + optional subdirs)
  4. Cross-cutting concerns - Standardized SKILL.md, workflow patterns, delegation rules
  5. Always push - Session completion workflow: commit + git push

Quality Gates

Before committing:

  1. ./scripts/test-skill.sh --validate
  2. Python shebang + docstrings check
  3. No extraneous files (README.md, CHANGELOG.md in skills/)
  4. If skill has scripts with external dependencies → verify flake.nix is updated (see skill-creator Step 4)
  5. Git status clean