agents365-ai/365-skills

pi-result-handling

Internal guidance for presenting Pi helper output back to the user

Ver código-fonte
Documento original do Skill

Renderizado do repositório de origem, preservando títulos, exemplos, código, tabelas, links e imagens.

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:setup and do not improvise alternate flows.
do mesmo repositório

Mais Skills

Todos os Skills
agents365-ai
Comunidade

drawio-skill

Create, edit, synchronize, inspect, test, and publish editable draw.io diagrams. Use when the user explicitly requests draw.io/diagrams.net, needs a polished architecture, ERD, UML, sequence, C4, SysML, BPMN, network, swimlane, ML, or infrastructure diagram, wants code/IaC/SQL/OpenAPI/AsyncAPI/Protobuf converted into a diagram, or wants an existing diagram queried, reviewed, diffed, restyled, kept in sync, or made interactive. Prefer Mermaid/PlantUML elsewhere when the requested artifact is diagrams-as-code rather than an editable draw.io file.

instalações
9
GitHub Stars
48
Atualizado
11 de set.
agents365-ai
Comunidade

agent-native-design

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.

instalações
3
GitHub Stars
48
Atualizado
11 de set.
agents365-ai
Comunidade

assetseeker

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.

instalações
3
GitHub Stars
48
Atualizado
11 de set.
agents365-ai
Comunidade

asta-skill

Domain expertise for Ai2 Asta MCP tools (Semantic Scholar corpus). Intent-to-tool routing, safe defaults, workflow patterns, and pitfall warnings for academic paper search, citation traversal, and author discovery.

instalações
3
GitHub Stars
48
Atualizado
11 de set.