Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
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Run Ruff checks with optional scope and rule overrides, apply safe and unsafe autofixes iteratively, review each change, and resolve remaining findings with targeted edits or user decisions. Use when cleaning up Ruff lint findings across a Python codebase.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Attribution: Sourced from github/awesome-copilot by GitHub Community, licensed MIT. Modified for this collection.
Use this skill to enforce code quality with Ruff in a controlled, iterative workflow. It supports:
pyproject.toml.uv, direct ruff, python -m ruff, or equivalent).--select, --ignore, --extend-select, --extend-ignore).# noqa only when suppression is justified.Collect these inputs before running:
target_path (optional): folder or file to check. Empty means whole repository.ruff_runner (optional): explicit Ruff command prefix (for example uv run, ruff, python -m ruff, pipx run ruff).rules_select (optional): comma-separated rule codes to enforce.rules_ignore (optional): comma-separated rule codes to ignore.extend_select (optional): extra rules to add without replacing configured defaults.extend_ignore (optional): extra ignored rules without replacing configured defaults.allow_unsafe_fixes (default: true): whether to run Ruff unsafe fixes.ask_on_ambiguity (default: true): always ask the user when multiple valid choices exist.Build Ruff commands from inputs.
Determine a reusable ruff_cmd prefix before building commands.
Resolution order:
ruff_runner is provided, use it as-is.uv is available and Ruff is managed through uv, use uv run ruff.ruff is available on PATH, use ruff.python -m ruff.pipx run ruff), or stop and ask the user.Use the same resolved ruff_cmd for all check and format commands in the workflow.
Base command:
<ruff_cmd> check
Formatter command:
<ruff_cmd> format
With optional target:
<ruff_cmd> format <target_path>
Add optional target:
<ruff_cmd> check <target_path>
Add optional overrides as needed:
--select <codes>
--ignore <codes>
--extend-select <codes>
--extend-ignore <codes>
Examples:
# Full project with defaults from pyproject.toml
ruff check
# One folder with defaults
python -m ruff check src/models
# Override to skip docs and TODO-like rules for this run
uv run ruff check src --extend-ignore D,TD
# Check only selected rules in a folder
ruff check src/data --select F,E9,I
<ruff_cmd> check with the selected scope and options.--fix using the same scope/options.<ruff_cmd> format on the same scope.<ruff_cmd> check to refresh remaining findings.Run only if findings remain and allow_unsafe_fixes=true.
--fix --unsafe-fixes using the same scope/options.<ruff_cmd> format on the same scope.<ruff_cmd> check.For remaining findings:
<ruff_cmd> format on the same scope.<ruff_cmd> check.If there are multiple valid solutions at any step, always ask the user before proceeding. Do not choose silently between equivalent options.
# noqa)Use suppression only when all conditions are true:
Guidelines:
# noqa: <RULE> over broad # noqa.Repeat steps 2 to 6 until one of these outcomes:
<ruff_cmd> check returns clean.Each loop iteration must include <ruff_cmd> format before the next <ruff_cmd> check.
When no progress is detected:
Before declaring completion:
At the end of execution, report:
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Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
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Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
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Adds educational comments to a code file so it becomes a learning resource, asking for the file (with a list of close matches) if none is given. Use when preparing code for learners, onboarding, or teaching.
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Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.
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Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
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Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: - Evaluating an agent system's security posture before production deployment - Running a compliance check against OWASP ASI 2026 standards - Mapping existing security controls to the 10 agentic risks - Generating a compliance report for security review or audit - Comparing agent framework security features against the standard - Any request like "is my agent OWASP compliant?", "check ASI compliance", or "agentic security audit"
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