agentic-workflows 精选
Route gh-aw workflow design/create/debug/upgrade requests to the right prompts.
安装方式
cp -r .github/skills/agentic-workflows ~/.claude/skills/agentic-workflows把该 skill 目录放进客户端 skills 目录。不同客户端的目录可能不同，Claude Code 默认是 ~/.claude/skills/
https://raw.githubusercontent.com/github/awesome-copilot/70ddff7fab9d4d49743d221b56d761cff58048d0/.github/skills/agentic-workflows/SKILL.md下载后另存为 ~/.claude/skills/agentic-workflows/SKILL.md。链接锁定采集时的 commit，内容与本站展示一致。
整仓一次性获取：git clone --depth 1 https://github.com/github/awesome-copilot.git
依赖与权限
- 无需 API Key
- 无需联网
- 依赖外部命令：
playwright - 以上为按正文与 frontmatter 自动推断的信号，仅供参考；安装前建议先阅读原文。
SKILL.md 正文
Agentic Workflows Router
Use this skill when a user asks to design, create, update, debug, or upgrade GitHub Agentic Workflows in this repository.
This skill is a dispatcher: identify the task type, load the matching workflow prompt/skill file, and follow it directly. Keep responses concise and ask a clarifying question if the correct prompt is unclear.
Repository overlay (optional):
- If
.github/aw/instructions.mdexists, load it with@.github/aw/instructions.mdafter loading the matched prompt/skill. - Precedence: repository overlay instructions override upstream defaults when they conflict.
Read only the files you need:
Load these files from github/gh-aw (they are not available locally).
.github/aw/action-container-substitutions.md.github/aw/agent-runtime-instructions.md.github/aw/agentic-chat.md.github/aw/agentic-workflows-mcp.md.github/aw/asciicharts.md.github/aw/campaign.md.github/aw/charts-trending.md.github/aw/charts.md.github/aw/cli-commands.md.github/aw/compat.md.github/aw/configure-agentic-engine.md.github/aw/context.md.github/aw/create-agentic-workflow-trigger-details.md.github/aw/create-agentic-workflow.md.github/aw/create-shared-agentic-workflow.md.github/aw/debug-agentic-workflow.md.github/aw/dependabot.md.github/aw/deployment-status.md.github/aw/designer-mappings.md.github/aw/designer.md.github/aw/drive-memory.md.github/aw/enclaves.md.github/aw/evals.md.github/aw/experiments.md.github/aw/github-agentic-workflows.md.github/aw/github-mcp-server-pagination.md.github/aw/github-mcp-server-tools.md.github/aw/github-mcp-server.md.github/aw/instructions.md.github/aw/intent.md.github/aw/jobs.md.github/aw/linter-workflows.md.github/aw/llms.md.github/aw/loop.md.github/aw/lsp.md.github/aw/maintainer.md.github/aw/mcp-clis.md.github/aw/memory-stateful-patterns.md.github/aw/memory.md.github/aw/messages.md.github/aw/multi-agent-research.md.github/aw/network.md.github/aw/optimize-agentic-workflow.md.github/aw/patterns.md.github/aw/playwright.md.github/aw/pr-reviewer.md.github/aw/release-workflow.md.github/aw/report.md.github/aw/reuse.md.github/aw/safe-outputs-automation.md.github/aw/safe-outputs-content.md.github/aw/safe-outputs-management.md.github/aw/safe-outputs-runtime.md.github/aw/safe-outputs.md.github/aw/serena-tool.md.github/aw/shared-safe-jobs.md.github/aw/skills.md.github/aw/subagents.md.github/aw/syntax-agentic.md.github/aw/syntax-core.md.github/aw/syntax-engine.md.github/aw/syntax-tools-imports.md.github/aw/syntax.md.github/aw/test-coverage.md.github/aw/test-expression.md.github/aw/token-optimization-caching-budgets.md.github/aw/token-optimization-observability.md.github/aw/token-optimization.md.github/aw/triggers.md.github/aw/update-agentic-workflow.md.github/aw/upgrade-agentic-workflows.md.github/aw/visual-regression.md.github/aw/work-queue.md.github/aw/workflow-constraints.md.github/aw/workflow-editing.md.github/aw/workflow-patterns.md
After loading the matching workflow prompt or skill, follow it directly:
- Design workflows from scratch via interview:
.github/aw/designer.md - Create new workflows:
.github/aw/create-agentic-workflow.md - Configure or add declarative engines:
.github/aw/configure-agentic-engine.md - Update existing workflows:
.github/aw/update-agentic-workflow.md - Debug, audit, or investigate workflows:
.github/aw/debug-agentic-workflow.md - Upgrade workflows and fix deprecations:
.github/aw/upgrade-agentic-workflows.md - Create shared components or MCP wrappers:
.github/aw/create-shared-agentic-workflow.md - Create report-generating workflows:
.github/aw/report.md - Fix Dependabot manifest PRs:
.github/aw/dependabot.md - Analyze coverage workflows:
.github/aw/test-coverage.md - Render compact markdown charts:
.github/aw/asciicharts.md - Map CLI commands to MCP usage:
.github/aw/cli-commands.md - Choose workflow architecture and patterns:
.github/aw/patterns.md - Optimize token usage and cost:
.github/aw/token-optimization.md - Design long-running multi-agent research workflows:
.github/aw/multi-agent-research.md - Add skills or agent plugins requested by the user (
skills:/plugins:frontmatter, never on-the-fly installs):.github/aw/skills.md
When the task involves OTEL, OTLP, traces, observability backends, or telemetry-driven analysis, also read and follow skills/otel-queries/SKILL.md after loading the matching workflow prompt or skill.
质量与来源
- 所属仓库
- github/awesome-copilot
- 仓库星标
- 4.0 万
- 最近更新
- 今天
- 采集时间
- 今天
- commit
- 70ddff7fab9d
- 内容指纹
- sha256:7f2f49837005bed
- 文件路径
- .github/skills/agentic-workflows/SKILL.md
同仓库其它 Skill
查看全部 50 个code-review
Review pull requests for repository fit, meaningful value, trustworthy provenance, differentiation, and maintainability in awesome-copilot.
create-canvas-extension
Create or register a canvas extension in the awesome-copilot repository. Use when asked to scaffold a new canvas extension, create its plugin.json, add a reusable extension to one or more plugins, or migrate extension metadata. Extensions are reusable source under extensions/; shippable plugin manifests belong under plugins/.
acquire-codebase-knowledge
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.
acreadiness-assess
Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.
acreadiness-generate-instructions
Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.
acreadiness-policy
Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.
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