instar-dev
SolidInstar-specific development skill used by the instar-developing agent (Echo, or any agent assigned instar-dev responsibilities). Wraps /build with mandatory side-effects review, signal-vs-authority principle check, and artifact generation. Structural enforcement via pre-commit/pre-push hooks — the instar repo refuses commits and pushes that didn't come through this skill. NOT a user-facing skill — end users should never invoke it.
Install
Quality Score: 81/100
Skill Content
Details
- Author
- JKHeadley
- Repository
- JKHeadley/instar
- Created
- 5 months ago
- Last Updated
- today
- Language
- TypeScript
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
spec-converge
Iteratively review an instar-development spec with multi-angle internal reviewers (security, scalability, adversarial, integration, decision-completeness, lessons-aware) and real cross-model external reviewers routed through the agent's own installed CLIs (codex → GPT-tier, gemini → Gemini-tier; one pass per available family) until convergence, then produce a comprehensive ELI10 convergence report. Output is a spec tagged review-convergence — one of the two tags /instar-dev requires before it will touch instar source. NOT user-invocable; run by the instar-developing agent before any spec-driven /instar-dev work.
skill-author
Author and improve robium skills. Three modes: fresh authoring from skills/_TEMPLATE, mining skills out of existing repos and apps, and hardening skills from learnings/ notes after trial runs. Enforces the robium quality bar (template compliance, trigger-surface descriptions, <500-line bodies, stated delegation posture, upstream links, no invented syntax) and runs scripts/validate_skills.py. Use when: 'write a new robium skill', 'improve robium skills', 'absorb learnings', 'harden skills', after building an app produced learnings files, or when distilling patterns from an existing robotics repo into a skill. Wraps Claude's skill-creator skill for evals and description tuning instead of reinventing it. Not for: building robot applications (use architect and the domain skills).