GitHub user
Agent skills by oxbshw
- skills
- 16
- repositories
- 2
Repositories by oxbshw
- watch-skillGive AI agents eyes, ears, and verifiable results. Watch Skill turns video, audio and screen activity into searchable, timestamped evidence and proves work with deterministic contracts, not model opinion. DeepWatch is the agent workspace built on DeepSeek Harness. Python + npm, MCP, CLI, REST, Web.452 stars · 10 skills
- LLM-Agents-Ecosystem-HandbookOne-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.551 stars · 6 skills
Skills by oxbshw, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | A skill your agent uses when reviewing a proposed REST or GraphQL API change before merge — checks contract clarity, backwards compatibility, errors, pagination, auth, and naming. | oxbshw/ | 551 | — | ~553 | Automated safety check: Pass | MIT | 3 mo ago |
| 2 | The user asks a question about a video that was already watched or indexed — "what did they say about X", "what error code appears", "what happens at 2:30", "does the video show Y". | oxbshw/ | 452 | — | ~550 | Automated safety check: Notes | MIT | 22 days ago |
| 3 | A skill your agent uses when first encountering a new dataset — produces a structured profile (schema, missingness, distributions, outliers, gotchas) before any analysis. | oxbshw/ | 551 | — | ~492 | Automated safety check: Pass | MIT | 3 mo ago |
| 4 | The user wants to connect an LLM or vision provider, already has an API key, asks "can I use OpenAI/Anthropic/Gemini/OpenRouter", wants local Ollama, or needs different cheap and strong models. | oxbshw/ | 452 | — | ~509 | Automated safety check: Notes | MIT | 22 days ago |
| 5 | A skill your agent uses when opening a PR — produces a clean PR description (what / why / how to verify / risks) from a branch diff against base. | oxbshw/ | 551 | — | ~441 | Automated safety check: Notes | MIT | 3 mo ago |
| 6 | 6.The Loop The user built or changed something visual — a UI, an animation, a game, a generated video — and wants it verified, or asks "why does my UI look wrong", "check that the fix actually worked", "does… | oxbshw/ | 452 | — | ~622 | Automated safety check: Notes | MIT | 22 days ago |
| 7 | The user asks about videos watched in the past or across sessions — "have we watched anything about X", "which video showed that error", "what did that meeting decide", "search my videos", or a… | oxbshw/ | 452 | — | ~569 | Automated safety check: Notes | MIT | 22 days ago |
| 8 | The user wants to share or hand off what was found in a video — "send this analysis to my team", "make a page I can share", "export the findings", "give me something I can attach to the ticket". | oxbshw/ | 452 | 1 repo | ~408 | Automated safety check: Notes | MIT | 22 days ago |
| 9 | A skill your agent uses when capturing an architecture decision so it survives turnover — produces an ADR-NNNN.md from context, options considered, and the chosen path. | oxbshw/ | 551 | — | ~476 | Automated safety check: Pass | MIT | 3 mo ago |
| 10 | The user shared a video URL, a YouTube/TikTok/stream link, a local video file, a screen recording, a meeting recording, or a playlist/folder of videos — "watch this", "summarize this video", "what's… | oxbshw/ | 452 | — | ~599 | Automated safety check: Notes | MIT | 22 days ago |
| 11 | A skill your agent uses when planning the next sprint — turns ticket intake + team capacity into a planned sprint with explicit non-goals. | oxbshw/ | 551 | — | ~429 | Automated safety check: Pass | MIT | 3 mo ago |
| 12 | Use after an incident is resolved — drafts a blameless postmortem from timeline notes, alerts, and chat threads. | oxbshw/ | 551 | — | ~461 | Automated safety check: Pass | MIT | 3 mo ago |
| 13 | The user wants structure pulled out of a watched video — "make chapters for this video", "where does the bug appear in this recording", "turn this screen recording into a bug report", "how strong is… | oxbshw/ | 452 | — | ~490 | Automated safety check: Notes | MIT | 22 days ago |
| 14 | The user corrected an answer about a video — "no, it actually says X", "that's the wrong timestamp", "you misread the error code" — or asks why a video answer was wrong. | oxbshw/ | 452 | — | ~380 | Automated safety check: Notes | MIT | 22 days ago |
| 15 | A Watch Skill command failed, video download broke, ffmpeg or yt-dlp is missing, a provider returned an error, local vision stopped, or the user asks "why can't it watch this" or "repair my setup". | oxbshw/ | 452 | — | ~455 | Automated safety check: Notes | MIT | 22 days ago |
| 16 | 16.Watch Watch any video (URL, stream, or local path) via Watch Skill. | oxbshw/ | 452 | — | ~1.3k | Automated safety check: Notes | MIT | 22 days ago |
Questions, answered from the data.
What is the best skill by oxbshw?
API Design Reviewer from oxbshw/LLM-Agents-Ecosystem-Handbook ranks first of the 16 skills by oxbshw listed here, with the highest score: its repository has 551 GitHub stars, its SKILL.md loads about 553 tokens and it passes the automated safety check with no findings. Next come Asking With Evidence and Dataset Profiler.
Are oxbshw's skills official?
None yet. All 16 skills by oxbshw listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.