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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Internal guidance for composing prompts that Pi runs (DeepSeek by default) handle reliably for coding, review, diagnosis, and research tasks
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Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Use this skill when pi:pi-companion-forwarder needs to ask Pi for help on a non-trivial coding or investigation task.
Pi runs whatever model the user has configured. By default this plugin targets DeepSeek V4 (Pro for review, Flash for everyday tasks). The guidance below assumes the prompt may run on either a non-reasoning model (Flash) or a reasoning model (Pro). Bias toward concrete, numbered checklists rather than abstract instructions — both model classes follow those reliably.
Core rules:
Default prompt recipe:
<task>: the concrete job and the relevant repository or failure context. Include file paths.<output_contract> (or <structured_output_contract> for JSON): exact shape, ordering, and brevity requirements.<grounding_rules>: required for review, research, or anything that could drift into unsupported claims.<action_safety>: required for write-capable tasks — name the directories and file kinds Pi may touch.When to add extra blocks:
<completeness_contract> listing what counts as "done" (tests pass, lint clean, files touched).prompts/adversarial-review.md and prompts/review.md. Do not hand-craft another review prompt.<sources> block listing what Pi is allowed to consult.How to choose prompt shape:
/pi:review or /pi:adversarial-review commands when the job is reviewing local git changes. Those prompts already carry the review contract.task when the job is diagnosis, planning, research, or implementation and you need to control the prompt more directly.task --resume-last for follow-up instructions on the same Pi session. Send only the delta instruction instead of restating the whole prompt unless the direction changed materially.Working rules:
--effort high) by default — DeepSeek Flash will not benefit, and DeepSeek Pro takes longer. Tighten the prompt before escalating effort.Prompt assembly checklist:
<task>.<grounding_rules> and <action_safety> only where the task needs them.When pi-subagents is installed:
<available_pi_subagents> block before <task>./pi:parallel-rescue "task1" "task2" ... instead of manual prompt construction.No reviews yet. Tell others what you thought.
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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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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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Query 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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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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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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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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