| name | automation-skill-forge |
| description | Turn automation runs into one or more specific Codex skill candidates. Use when an automation should produce reusable skills, stronger prompts, trend workflows, GitHub-ready skill artifacts, or generated-skill naming rules. Triggers: automation to skill, make this into a skill, generated skill pack, many skills from GitHub repos, trend-backed skill, skill naming regex. Skip when the task only needs a one-off fix or a broad brainstorm.
|
Automation Skill Forge
Goal: turn recurring automation work and GitHub/source research into sharp,
non-overlapping Codex skill candidates or a clear decision not to create any.
Naming Regex
Generated skills from this automation must use:
^auto-skill-(research|build|review|audit|ops|safety|trend)-[a-z0-9]+(?:-[a-z0-9]+){1,4}$
Format: auto-skill-<mode>-<domain>-<artifact>.
Examples:
auto-skill-trend-agentic-disease-intake
auto-skill-safety-mcp-secret-guard
auto-skill-build-github-repo-radar
Workflow
- Read automation memory and the current workspace index first.
- Read
references/maintenance-automation-scope.md for the full agency model.
- Choose a primary aim: research, build, review, audit, ops, safety, or trend.
- Gather compact evidence with
rg, manifests, README/docs, and exact source files.
- For multiple local source clones, use
$auto-skill-build-source-pattern-synthesis to cluster workflow patterns
before writing skill files.
- Create as many useful non-overlapping skills as the evidence justifies.
- Move broad catalogs or long examples into references.
- Validate each new or changed skill with
$skill-quality-gate.
Skill Candidate Contract
Name:
Regex match:
Generated by:
Aim:
Trigger:
Inputs:
Workflow:
Commands:
References:
Skip when:
Validation:
Useful end goal:
Command Defaults
- Search:
rg, rg --files, exact symbols, package manifests.
- Repo scan:
scripts/repo_snapshot.sh <repo> and scripts/token_budget.sh <repo> when available.
- Validation:
scripts/skill_audit.sh plugins/codex-supercharge/skills and quick_validate.py.
- GitHub packaging: prepare files, docs, validation output, and commit-ready notes only; do not publish unless asked.
Trend Guardrail
Use trend signals to choose domains, not to invent claims. Current trend-backed
skill ideas must cite source/date and include a safety or usefulness gate.
Read references/automation-skill-patterns.md and
references/maintenance-automation-scope.md before creating generated skills
or broad skill batches.
Validation
- Every generated skill name matches the automation regex unless promoted to a stable first-class name.
- Each candidate has a trigger, skip condition, workflow, references, and validation.
- Broad catalogs or examples are moved into references before installation.