Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
Beamer Skill
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Slides_maker
Best first install candidate based on install readiness and adoption.
Freshest repo
auditing-gameplay-implementation-coverage
Most recent maintenance signal among this shortlist.
| Signal | auditing-gameplay-implementation-coverage Audits a stateful game's specification, phase/state machine, implementation, presentation, and tests for scenario-specific omissions such as one phase missing an input alias, one actor skipping a rule, a state change lacking HUD feedback, an event lacking audio, or a lifecycle boundary failing to reset or freeze state. Use when a game mostly works but may contain unimplemented sibling cases, inconsistent behavior across phases or actors, or important rules with no concrete probe; scope the audit to behavior surfaces changed or plausibly reached by a cross-cutting mechanic, to named high-risk surfaces before release, or to a family implicated by repeated forgotten-case bugs. Do not use for a small isolated change already covered by a direct distinguishing assertion, and do not expand into unrelated behavior surfaces. Not for localizing an already-reproduced semantic divergence, validating an existing patch, measuring balance, or proving exhaustive correctness. | Slides_maker AI agent skill to generate editable PowerPoint presentations from papers, code, or documents using Codex or Claude Code. | Beamer Skill A full-lifecycle Claude Code skill for creating, compiling, reviewing, and polishing academic Beamer LaTeX presentations with quality scoring and pedagogical audits. |
|---|---|---|---|
| Quality | 54/100 Needs review | 85/100 Excellent | 100/100 Excellent |
| Decision verdict | 53/100 Needs manual review Do a manual repository review before adding this to an agent workflow. | 96/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 99/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 20 stars Verified outcomes are shown on each skill page | 523 stars Verified outcomes are shown on each skill page | 324 stars Verified outcomes are shown on each skill page |
| Freshness | Sep 25, 2026 | Sep 19, 2026 | Aug 12, 2026 |
| Use-case fit |
| Workflow fit |
| Platform hints | Claude Code | Python, Claude Code, OpenAI Agents | TeX, Claude Code, OpenAI Agents, Cursor |
| Warnings | Low GitHub adoption signal · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Security and compliance workflows · Claude Code teams · builders willing to evaluate younger projects | Presentation generation workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that need a vendor-supported SLA · production agents without a repository review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add abagames/agentic-gamedev-skills --skill auditing-gameplay-implementation-coverage | $ npx skills add addsumtech/slides_maker | $ npx skills add Noi1r/beamer-skill |