core
microsoft/data-formulator/py-src/data_formulator/analyst/skills/core/SKILL.md
The analyst's built-in capabilities: data-inspection tools and the always-available actions (visualize and ask_user).
Skills real projects publish on GitHub, most starred first. Each one says what it will make an agent do before you copy it.
microsoft/data-formulator/py-src/data_formulator/analyst/skills/core/SKILL.md
The analyst's built-in capabilities: data-inspection tools and the always-available actions (visualize and ask_user).
microsoft/data-formulator/py-src/data_formulator/analyst/skills/data-loading/SKILL.md
Discover connected data sources, add new data connectors through a user-confirmed form, inspect table metadata, and run bounded read-only probes when the current workspace data is insufficient.
microsoft/data-formulator/py-src/data_formulator/analyst/skills/report/SKILL.md
Turn an exploration (threads, findings, charts) into a single Markdown report — note, blog post, executive summary, KPI dashboard, slide brief, or multi-section analytical report, with embedded charts.
microsoft/pyright/.github/skills/evaluation-tracing/SKILL.md
Investigate Pyright type-inference or cache regressions, unexpected or lost diagnostics, speculative or reentrant evaluation, evaluator state changes, and repeated evaluator work using local evaluation traces.
microsoft/playwright-python/.claude/skills/playwright-roll/SKILL.md
Roll Playwright Python to a new driver version. Walks the upstream `docs/src/api/` commit range, ports each public-API change, suppresses the rest in `expected_api_mismatch.txt`, regenerates the typed surface, and adds tests.
microsoft/RD-Agent/rdagent/scenarios/rl/autorl_bench/core/skill.md
你负责维护实验的累积运行总结文件 reports/summary.md。 每轮实验结束后,你需要用 file_editor 在 reports/summary.md 末尾追加一个新 section。 如果 reports/summary.md 不存在,先创建文件,首行写 # 运行总结。 每轮追加的 section 格式(严格遵守,不增删字段): 数据来源建议(按优先级): - Score/Improvement/Best: scores.json 或服务器返回 - 状态/耗时/exit_code: run.log - 训练类型/关键配置/关键代码: code/train.py - 失败根因: agent.log + run.log 规则: 1. 追加,不要覆盖已有内容 2. 必须按 Iteration 递增写入:读取 reports/summary.md 中最后一个迭代号,当前必须是 N+1;若不满足先修正再写 3. 分析 code下面的 源码,提取训练类型和超参数;若无法确定写 unknown,不留空 4. 如果训练失败,必须给出可定位的根因(日志片段或错误类型),并标注 failuretype(如:codeerrorruntime / rolloutlogicwrong / timeoutnosubmission / copymodelfallback / trainingdiverged / unknown) 5. “做了什么”“为什么”是最重要字段,必须可复现、可检验,且“为什么”必须引用上轮证据(scores.json/run.log/agent.log) 6. 问题/进步 必须包含过程指标或失败类型(如:validsubmissionrate / firstvalididx / timetofirstimprovement / timeusedratio / failuretype) 7. 长代码片段每轮最多 1 段,最多 40 行;优先贴本轮新增或改动处;若与上轮相同写“与 Iteration…
microsoft/agent-framework/dotnet/.github/skills/build-and-test/SKILL.md
How to build and test .NET projects in the Agent Framework repository. Use this when verifying or testing changes.
microsoft/agent-framework/dotnet/.github/skills/project-structure/SKILL.md
Explains the project structure of the agent-framework .NET solution
microsoft/agent-framework/dotnet/.github/skills/pull-requests/SKILL.md
Guidance for creating pull requests and handling PR review comments in the Agent Framework repository. Use this when writing a PR description (filling out the PR template) or when responding to and resolving review comments on an existing PR.
microsoft/agent-framework/dotnet/.github/skills/verify-dotnet-samples/SKILL.md
How to build, run and verify the .NET sample projects in the Agent Framework repository. Use this when a user wants to verify that the samples still function as expected.
microsoft/agent-framework/dotnet/.github/skills/verify-samples-tool/SKILL.md
The verify-samples project (dotnet/eng/verify-samples/) is an automated tool that runs sample projects and verifies their output using deterministic checks and AI-powered verification. Important: By default, samples must be pre-built before running verify-samples. Build the solution first, or pass --build to build samples during the run: Then run verify-samples: The tool itself needs: - AZUREOPENAIENDPOINT — for the AI verification agent - AZUREOPENAIDEPLOYMENT_NAME (optional, defaults to gpt-5-mini) Individual samples require their own env vars (e.g., AZUREAIPROJECT_ENDPOINT). The tool automatically checks and…
microsoft/agent-framework/dotnet/samples/02-agents/AgentSkills/Agent_Step01_FileBasedSkills/skills/unit-converter/SKILL.md
Convert between common units using a multiplication factor. Use when asked to convert miles, kilometers, pounds, or kilograms.
microsoft/agent-framework/dotnet/samples/02-agents/AgentSkills/Agent_Step04_MixedSkills/skills/unit-converter/SKILL.md
Convert between common units using a multiplication factor. Use when asked to convert miles, kilometers, pounds, or kilograms.
microsoft/agent-framework/dotnet/samples/02-agents/Harness/BuildYourOwnClaw/Claw_Step03_ScalingCapabilities/skills/risk-scoring/SKILL.md
Score how concentrated and risky a portfolio is on a 0-100 scale from its position weights. Use when the user asks how risky their portfolio is, whether it is too concentrated, or for a diversification check.
microsoft/agent-framework/dotnet/samples/02-agents/Harness/BuildYourOwnClaw/Claw_Step03_ScalingCapabilities/skills/valuation/SKILL.md
Estimate whether a stock looks cheap or expensive using a price-to-earnings (P/E) based fair-value method. Use when the user asks if a stock is over- or under-valued, or for a fair-value / target price.
microsoft/agent-framework/dotnet/samples/02-agents/Harness/BuildYourOwnClaw/Claw_Step04_ProductionReady/ClawAgent/skills/risk-scoring/SKILL.md
When the user asks about portfolio risk or concentration: 1. Read references/risk-bands.md to understand the score bands and what drives them. 2. Compute each holding's market value (shares × price) — use the getstockprice tool for current prices if you do not already have them. 3. Run scripts/risk_score.py with one --position VALUE argument per holding, e.g. --position 18518 --position 17201 --position 16177. 4. Report the 0-100 score, the band it falls in, and the largest single-position weight, then suggest (in…
microsoft/agent-framework/dotnet/samples/02-agents/Harness/BuildYourOwnClaw/Claw_Step04_ProductionReady/ClawAgent/skills/valuation/SKILL.md
When the user asks whether a stock is fairly valued, over-valued, or under-valued: 1. Read references/valuation-guide.md to pick a sensible target P/E for the company's sector. 2. Run scripts/valuation_metrics.py with the current price, trailing EPS, and the target P/E, e.g. --price 462.97 --eps 11.80 --target-pe 32. 3. Report the computed P/E, the fair-value estimate, and the percentage upside/downside, then state plainly whether the stock looks cheap or expensive on this measure. Always remind the user that a single P/E heuristic…
microsoft/agent-framework/dotnet/samples/02-agents/Harness/Harness_Step04_CodeExecution/skills/regex-tester/SKILL.md
Validate, test, and debug regular expressions by executing them against sample inputs. Use when asked to build, verify, or explain a regex pattern.
microsoft/agent-framework/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AgentSkills/skills/escalation-policy/SKILL.md
When and how to escalate Contoso Outdoors customer-support tickets.
microsoft/agent-framework/dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AgentSkills/skills/support-style/SKILL.md
Contoso Outdoors customer-support tone and formatting guidelines.
A folder with a SKILL.md file: a name, a description of when to use it, and instructions. Claude loads a skill only when the task matches its description.
Copy the folder into your project's .claude/skills/ directory, or into your own skills folder to use it everywhere.
We read each file for commands that read secrets, delete things or pipe downloads into a shell, and say so before you copy it. No warning is not a promise that a file is safe.
Open a skill to see its discussion. Reports from people and their agents are coming.