docs
This Claude Code item is a guide for creating new skills in the AgentOps framework by defining a minimal structure and documentation format. Use it when contributing a narrow, reusable capability to the system, such as a focused validator, research helper, or knowledge transformer, following the specified frontmatter contract and tier classification system.
git clone --depth 1 https://github.com/boshu2/agentops /tmp/docs && cp -r /tmp/docs/docs/create-your-first- ~/.claude/skills/docscreate-your-first-skill.md
# Create Your First Skill
AgentOps is built out of skills. A good first contribution is not "make a huge framework." It is "teach the system one reusable intent."
This guide shows the smallest current path to adding a new skill without tripping the repo gates.
## Before You Start
Pick a skill idea that is:
- Narrow: one clear job, not an entire workflow
- Reusable: something you would invoke more than once
- Observable: it should produce an artifact, decision, or validation step someone can check
Good first-skill ideas:
- A focused validator for one common failure mode
- A domain-specific research or triage helper
- A contribution helper for one external tool or service
- A narrow knowledge-management skill that transforms one artifact type into another
Avoid first-skill ideas that:
- duplicate an existing skill in `docs/SKILLS.md`
- require a big new runtime abstraction
- mix discovery, implementation, and release into one entrypoint
## The Minimum Shape
Create a directory:
```bash
mkdir -p skills/your-skill-name
```
Then create `skills/your-skill-name/SKILL.md` using the current frontmatter contract:
```md
---
name: your-skill-name
description: 'What this skill does. Triggers: "trigger phrase", "other phrase".'
skill_api_version: 1
context:
window: fork
intent:
mode: task
sections:
exclude: [HISTORY]
metadata:
tier: execution
---
# your-skill-name
## Purpose
What this skill is for and what problem it solves.
## When to Use
- Trigger condition one
- Trigger condition two
## Inputs
- What the user should provide
- Any repo or runtime assumptions
## Instructions
1. The first concrete step.
2. The main execution flow.
3. The validation or closeout step.
## Output
- What artifact, decision, or side effect this skill should produce
## Examples
```text
Example prompt or invocation
```
```
Use [templates/skill.template.md](templates/skill.template.md) as a starting point if you want a copyable scaffold.
## Pick The Right Tier
Most first contributions should use one of these:
- `execution`: a focused task skill
- `session`: onboarding, status, or recovery help
- `knowledge`: transforms or traces knowledge artifacts
- `product`: product, docs, or release oriented
- `contribute`: contribution-specific workflow support
See [SKILL-API.md](SKILL-API.md) for the full frontmatter contract and [../skills/SKILL-TIERS.md](https://github.com/boshu2/agentops/blob/main/skills/SKILL-TIERS.md) for the full taxonomy.
## Keep The Entry Point Lean
Your `SKILL.md` should be the operator surface, not the whole encyclopedia.
If the skill needs more detail, add:
- `references/*.md` for deeper guidance
- `scripts/*.sh` for helper logic or validation
- `schemas/*.json` only when downstream tooling consumes a structured contract
If you add files under `references/`, make sure `SKILL.md` links to them. CI fails when reference files exist but are not linked.
## Common CI Footguns
These are the most common ways first skill PRs fail:
- Missing or stale frontmatter
- New references not linked from `SKILL.md`
- Adding a skill directory without syncing counts
- Leaving `TODO` or `FIXME` text in `SKILL.md`
- Adding symlinks anywhere in the repo
This repo is strict because skills are shipped artifacts, not informal notes.
## Validate Before You Open A PR
Run the current local checks:
```bash
# Required for any skill change
bash skills/skill-builder/scripts/heal.sh --strict
# Required when docs or skill counts change
bash tests/docs/validate-doc-release.sh
# If you added or removed a skill directory
python3 scripts/generate-skill-mesh.py
# Recommended fast changed-surface check
ao gate check --fast --scope worktree
```
If your change affects Codex behavior or the checked-in Codex bundle, also run:
```bash
bash scripts/audit-codex-parity.sh --skill your-skill-name
bash scripts/validate-codex-generated-artifacts.sh --scope worktree
```
## Where To Look For Good Examples
Start from a simple, high-signal skill rather than the biggest orchestration layer.
Useful examples:
- [skills/research/SKILL.md](skills/research.md)
- [skills/postmortem/SKILL.md](skills/postmortem.md)
- [skills/doc/SKILL.md](skills/doc.md)
- [skills/implement/SKILL.md](skills/implement.md)
## Opening The PR
Explain four things clearly:
- the user intent the skill handles
- why an existing skill was not enough
- what artifact or outcome it produces
- what checks you ran locally
Useful supporting docs:
- [CONTRIBUTING.md](CONTRIBUTING.md)
- [SKILL-API.md](SKILL-API.md)
- [testing-skills.md](testing-skills.md)
- [docs/SKILLS.md](SKILLS.md)Switch a caller-selected coding-agent Triggers: "switch account", "rotate coding-agent account".
Use when operating ACFS flywheel health checks, init, and agent loop tooling from ~/acfs/bin/acfs.
Use Agent Mail as an optional messaging and Triggers: "coordinate writers", "reserve files".
Operate explicit orchestrator, implementer Triggers: "agent-native factory", "role-shaped agent panes", "persistent workers".
Run AGY headlessly via scheduled ticks or `agy -p`, capture agentapi JSONL evidence, and validate automated AGY loops or event streams.
|-
Use an explicitly selected AGY runtime for Triggers: "agy", "antigravity", "AGY evidence".
|-