Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
mono-color
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
mono-color
Best first install candidate based on install readiness and adoption.
Freshest repo
kitaru-investigation
Most recent maintenance signal among this shortlist.
| Signal | kitaru-investigation Guide users from their own agent code or recorded traces through Kitaru setup, session import or recording, human review, an accepted behavior, a versioned cohort, and evaluator selection, then hand one bounded change to the replay-experiment skill. Use when a user wants to connect or inspect an existing agent, import real traces, investigate a known bad or surprising session, discover recurring failure modes, learn the evidence-led review flow, resume an investigation, create a cohort from reviewed evidence, or author an evaluator for an accepted behavior. When a first-time user has no agent or evidence and wants a fast demonstration with the public returns-agent template, use the `kitaru-guided-tour` skill instead. | mono-color Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only. |
|---|---|---|
| Quality | 68/100 Promising | 100/100 Excellent |
| Decision verdict | 67/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 415 stars Verified outcomes are shown on each skill page | 1.9K stars Verified outcomes are shown on each skill page |
| Freshness | Sep 15, 2026 | Sep 1, 2026 |
| Use-case fit |
| Workflow fit |
| Platform hints | Claude Code | Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · builders willing to evaluate younger projects | Design and creative workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | 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 |
| Install | $ npx skills add decodingai-magazine/building-a-coding-agent-from-scratch-course --skill kitaru-investigation | $ npx skills add yanliudesign/mono-color-skill --skill mono-color |