Creating Skills

Step-by-step guide to adding new expertise to your Arc OS project.


Before you write a new skill — check the global library

Arc OS ships with 40+ generic skills in skills/ covering common roles. Before authoring a new one, see if existing covers your need:

Domain Skills available
Engineering commit-discipline, tdd-flow, react-best-practices, postgres-patterns, mcp-builder
Frontend / Design frontend-design-principles, svg-graphics, slide-deck-html, service-design, scss-modular-architecture, responsive-mobile-first
Startup ops market-analysis, gtm-strategy, financial-modeling, pitch-deck, customer-development, fundraising, founder-brand, metrics-dashboard, legal-startup
Marketing seo-foundations, founder-brand
Process standup-aggregator, commit-discipline
Database postgres-patterns

Browse full list: GET /api/crm/skills?category=<X> or bun -e "console.log(JSON.stringify(require('./skills/_registry.json').skills.map(s=>s.name),null,2))".

Skill = trigger-matched, not always-on

Skill auto-injects into worker prompt when message matches its triggers (in _registry.json). Description field is trigger logic ("when to use this"), not a summary. Context Router picks top-5 matches per message.


What Is a Skill

A skill is a portable instruction set that teaches your AI bot a specific capability. Skills live in the skills/ directory and consist of:

skills/
├── _registry.json              ← Central registry
├── my-new-skill/
│   ├── skill.md                ← What the AI should do
│   ├── my-new-skill.evals.json ← How to validate the output
│   └── references/             ← Context documents
└── library/
    └── domain-expert.md        ← Simple single-file skills

Step 1: Write skill.md

This is the core instruction. Claude reads this when the skill is activated.

Template

# Skill Name

## Purpose
What this skill accomplishes in one sentence.

## When to Use
- Trigger condition 1
- Trigger condition 2

## Protocol
1. First action
2. Second action
3. Third action

## Output Format
What the response should look like.

## Constraints
- What NOT to do
- Safety boundaries

Guidelines

Example: Odoo Expert

# Odoo Expert

## Purpose
Odoo ERP module development: models, views, security, QWeb templates.

## When to Use
- Building or modifying Odoo modules
- Writing QWeb templates
- Configuring access rules and record rules
- Working with the ORM (create, write, search, browse)

## Protocol
1. Check if modifying an existing module or creating new
2. Follow Odoo 17 conventions (manifest, models/, views/, security/)
3. Use self.env['model.name'] for ORM operations
4. Always use _t() or t-call for translatable strings
5. Test with --test-tags after changes

## Constraints
- Never use cr.execute() for direct SQL — use ORM
- Never use sudo() unless security context explicitly requires it
- No inline JavaScript in QWeb templates

Step 2: Write evals (Quality Rules)

Evals are declarative rules that automatically validate every response. They run after Claude generates output and add warning footnotes if rules fail.

File naming

skills/<name>/<name>.evals.json

Schema

{
  "version": 1,
  "skill": "my-new-skill",
  "rules": [
    {
      "id": "ms-001",
      "name": "Human-readable rule description",
      "type": "rule_type",
      "value": "for string/length types",
      "pattern": "for regex types",
      "severity": "warning"
    }
  ]
}

Available Rule Types

Type What It Checks Uses Field
string_contains Response includes literal text value (string)
string_not_contains Response does NOT include text value (string)
regex_match Response matches regex pattern (string)
regex_not_match Response does NOT match regex pattern (string)
max_length Response length <= N characters value (number)
min_length Response length >= N characters value (number)

Severity Levels

Example

{
  "version": 1,
  "skill": "odoo-expert",
  "rules": [
    {
      "id": "oe-001",
      "name": "Must use ORM, not raw SQL",
      "type": "string_not_contains",
      "value": "cr.execute",
      "severity": "warning"
    },
    {
      "id": "oe-002",
      "name": "Must use translation helpers",
      "type": "regex_match",
      "pattern": "_t\\(|t-call|t-esc",
      "severity": "warning"
    },
    {
      "id": "oe-003",
      "name": "Response under 5000 chars",
      "type": "max_length",
      "value": 5000,
      "severity": "info"
    }
  ]
}

Tips


Step 3: Register in _registry.json

The registry tells the Context Router about your skill so it can be recommended for relevant messages.

Add an entry

{
  "name": "my-new-skill",
  "description": "One sentence (shown in SKILLS_HINT, max 80 chars).",
  "triggers": ["direct-command", "explicit-request", "пряма команда"],
  "keywords": ["broader", "semantic", "related-term"],
  "agents": ["rick"],
  "category": ["complex"],
  "phase": "21.5"
}

Triggers vs Keywords

Triggers (2 points each): Direct invocation signals. The user explicitly wants this skill.

Keywords (1 point each): Broader terms that suggest relevance without being commands.

Guidelines


Step 4: Library Skills (Simple Format)

For domain expertise that doesn't need evals or a dedicated directory, use skills/library/:

skills/library/
├── docker-ops.md
├── postgres-pro.md
└── react-patterns.md

These are single .md files. No directory, no evals, no references. Good for knowledge-heavy, validation-light skills.


Checklist


What Happens at Runtime

1. Bot starts → loadRegistry() reads _registry.json
                 loadEvals() reads all .evals.json files
                 loadLearnings() reads learnings.md

2. Message arrives → routeContext() scores skills → SKILLS_HINT injected
                     formatForPrompt() adds LEARNINGS block

3. Claude responds → checkOutput() runs eval rules
                     formatEvalWarnings() appends footnotes

4. Fix It / thumbs-down → addLearning() writes to learnings.md
                          qualityTracker logs feedback

5. Nightly → findUnderperformingSkills() checks metrics
             Proposals sent to CEO for approval

Seeding skills into the global DB

Skills у DB (skills_global table) — це SSOT для Context Router. File on disk is the source of truth for content; DB is the fast index for matching + auto-injection. They sync via seeder scripts.

Generic seeder by category

# Reads skills/_registry.json, filters by category, upserts skills_global rows.
# Idempotent + drift-aware (skip if no change, update on content drift).
bun scripts/seed-skill-category.ts --category engineering
bun scripts/seed-skill-category.ts --category frontend
bun scripts/seed-skill-category.ts --category marketing

Works for any category present у _registry.json. Picks first category from array as DB column value.

Specific seeders

When to run

Verifying

sqlite3 data/citadel.db "SELECT name, category, owner_project FROM skills_global ORDER BY id"

owner_project = NULL → global (всі проекти бачать). owner_project = 'my-project' → project-only (тільки той проект).


Project-only vs global skills

Skill type owner_project Use case
Global (template) NULL Generic methodology (TDD, Conventional Commits, AARRR) — корисне будь-якому проекту
Project-only '<project-name>' Documents specific to OUR codebase (e.g. crm-api-reference лежить тільки у arc-v2)

Move existing skill to project-only:

sqlite3 data/citadel.db "UPDATE skills_global SET owner_project='my-project' WHERE name='internal-api-docs'"

listForProject filter гейтить видимість: інші проекти не побачать project-only skill.