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Found 550 Skills
A cross-cutting cognitive mode for sitting with design problems before rushing to solve them. Part of the Intent design strategy system. Activates expansive brainstorming: hyperassociativity, beginner's mind, cross-domain pattern recognition, and suppression of premature idea-dismissal. Works alongside every Intent skill — strategize uses it to reframe briefs, blueprint to question structural assumptions, journey to rethink interaction models, and specify to stress-test specs. Trigger when the user invokes "expansive mode", "philosopher mode", "sit with this", "brainstorm", "explore this problem", or says things like "go weird with it", "don't filter yourself", "what connections are you not making", "think about this differently", or "I'm stuck". This is a reasoning protocol, not a persona — Claude's voice stays grounded but the cognitive process changes significantly.
Performs pseudo-mutation analysis on .NET production code to find gaps in existing test suites. Use when the user asks to find weak tests, discover untested edge cases, check if tests would catch a bug, or evaluate test effectiveness through mutation-style reasoning. Analyzes production code for mutation points (boundary conditions, boolean flips, null returns, exception removal, arithmetic changes) and checks whether existing tests would detect each mutation. Works with MSTest, xUnit, NUnit, and TUnit. DO NOT USE FOR: writing new tests (use writing-mstest-tests), detecting test anti-patterns (use test-anti-patterns), measuring assertion diversity (use assertion-quality), or running actual mutation testing tools.
Analyze traces of Claude Code sessions. Use this Skill when users mention session IDs in UUID format (composed of numbers and lowercase letters), time clues such as "just now", "today", "last time", troubleshooting Agent behavior reasons, wanting to view the content of a specific Claude Code session, or analyzing trace content.
Query Alibaba Cloud WAF block reasons via SLS logs and WAF CLI. Analyzes detailed information about blocked requests. Optionally supports disabling WAF rules (ModifyDefenseRuleStatus) and managing log service settings (ModifyUserWafLogStatus, ModifyResourceLogStatus). Use when users report being blocked by WAF, encounter 405/block error pages, or need to investigate and remediate WAF security rules. Trigger words: "WAF block query", "blocked by WAF", "405 troubleshooting", "request blocked", "checkresponse", "intercept query", "disable WAF rule", "enable WAF log"
Use when the user asks for repeated rollouts, marked decision processes, high-dimensional search, stochastic optimization, local-optima exploration, ensemble comparison, or recursive reasoning with a visible evidence trail.
Reply to every PR review comment — from GitHub Copilot, other review bots, and human reviewers — with code fixes or reasoned push-backs. Fetches all comments via the GitHub API, triages each one, fixes code, commits, and posts an inline reply to every comment. Use whenever the user wants to address PR feedback, respond to review comments, handle Copilot's review, clear out reviewer comments, or says 'address the review', 'reply to the comments', 'handle the PR feedback' — even if no specific reviewer is named. Not complete until every comment has a response posted.
Systematic debugging that identifies root causes rather than treating symptoms. Uses sequential thinking for complex analysis, web search for research, and structured investigation to avoid circular reasoning and whack-a-mole fixes.
Prioritize a product roadmap/backlog and produce a Roadmap Prioritization Pack (season framing, scoring model, ranked opportunities, roadmap, decision narrative, rollout plan).
Executes OpenAI Codex CLI for code analysis, refactoring, and automated editing. Activates when users mention codex commands, code review requests, or automated code transformations requiring advanced reasoning models.
Patterns and architectures for building AI agents and workflows with LLMs. Use when designing systems that involve tool use, multi-step reasoning, autonomous decision-making, or orchestration of LLM-driven tasks.
This skill should be used when the user asks to "create a ReAct agent", "build an agent with tools", "implement tool-calling agent", "use dspy.ReAct", mentions "agent with tools", "reasoning and acting", "multi-step agent", "agent optimization with GEPA", or needs to build production agents that use tools to solve complex tasks.
Use this skill whenever the agent has access to Linkup web search or fetch tools. Teaches the agent how to reason about query construction, choose search depth, write effective queries, select the right output type, use the fetch endpoint, and apply advanced techniques like sequential search and multi-query coverage. Applicable to any task involving web search, content extraction, company research, news retrieval, data enrichment, or real-time information gathering via Linkup.