Use when designing, reviewing, or refactoring a CLI that must serve AI agents alongside humans, or when converting an API or SDK into an agent-usable CLI interface.
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Agents365-ai/365-skills892026년 10월 16일 업데이트
무료GitHub에 공개
pi-result-handling
Internal guidance for presenting Pi helper output back to the user
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실행 점수 미검증
설치 방법 보기포함된 파일(1)
- SKILL.md1.7 KB
SKILL.md(원문)
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Pi Result Handling
When the helper returns Pi output:
- Preserve the helper's verdict, summary, findings, and next steps structure.
- For review output, present findings first and keep them ordered by severity.
- Use the file paths and line numbers exactly as the helper reports them.
- Preserve evidence boundaries. If Pi marked something as an inference, uncertainty, or follow-up question, keep that distinction.
- Preserve output sections when the prompt asked for them, such as observed facts, inferences, open questions, touched files, or next steps.
- If there are no findings, say that explicitly and keep the residual-risk note brief.
- If Pi made edits, say so explicitly and list the touched files when the helper provides them.
- For
pi:pi-companion-forwarder, do not turn a failed or incomplete Pi run into a Claude-side implementation attempt. Report the failure and stop. - For
pi:pi-companion-forwarder, if Pi was never successfully invoked, do not generate a substitute answer at all. - CRITICAL: After presenting review findings, STOP. Do not make any code changes. Do not fix any issues. You MUST explicitly ask the user which issues, if any, they want fixed before touching a single file. Auto-applying fixes from a review is strictly forbidden, even if the fix is obvious.
- If the helper reports malformed output or a failed Pi run, include the most actionable stderr lines and stop there instead of guessing.
- If the helper reports that setup is required (pi binary missing, no provider configured), direct the user to
/pi:setupand do not improvise alternate flows.
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같은 저장소의 스킬
Search free commercial-use creative assets across multiple online sources — photos, illustrations, icons, video footage, music, sound effects, and fonts. Use when the user needs to find assets for videos, PPTs, articles, or any content creation. Trigger on phrases like "find me a photo of", "search for icons", "I need background music", "find video footage", "search fonts", "找一张图片", "搜素材", "帮我找图标/视频/音乐/字体". Covers Pexels, Unsplash, Pixabay, Iconify, Freesound, Google Fonts and more — with API-backed search where available.
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Agents365-ai/365-skills892026년 10월 16일 업데이트
asta
무료Query the Semantic Scholar academic corpus through AI2's Asta MCP server: keyword or title search with venue and date filters, who-cited-a-paper traversal, author profiles and publications, DOI/arXiv/PMID lookup, and ~500-word full-text snippets for evidence, with citation counts and h-index. Use when the user asks for papers on a topic, who cited a paper, an author's work, recent literature since a date, or a venue-scoped paper list. Requires the Asta MCP server.
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Agents365-ai/365-skills892026년 10월 16일 업데이트
Extract and organize frames from a Bilibili video (bangumi episode, UP upload, or a local file) into scenery shots and per-character image groups, using anime-specific person detection + CCIP character-identity embeddings. Two modes — cluster everyone, or pull out one (or several) named characters via reference folders. Use when the user wants to collect, extract, or organize anime frames/screenshots by character or by scenery from a Bilibili video. Read-only download for personal viewing/analysis; uploads nothing.
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Agents365-ai/365-skills892026년 10월 16일 업데이트
Fetch Bilibili (哔哩哔哩) video comments for UP主 self-analysis. Use when the user asks to collect, download, export, or analyze comments on a Bilibili video (BV号 / URL / UID). Produces JSONL + summary.json suitable for further Claude Code analysis (sentiment, keywords, audience trends). Read-only; does not post/edit/delete.
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Agents365-ai/365-skills892026년 10월 16일 업데이트
Use when user requests diagrams, flowcharts, architecture charts, or visualizations. Also use proactively when explaining systems with 3+ components, complex data flows, or relationships that benefit from visual representation. Generates .excalidraw files and exports to PNG/SVG via Kroki API or locally using excalidraw-brute-export-cli.
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Agents365-ai/365-skills892026년 10월 16일 업데이트