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Research AI Skills

Discover Research skills, compare source repositories and read the instructions for each workflow.

Categories: Research

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GitHub

knowledge-hooks

Git-Fg

Reference knowledge for hooks: events (PreToolUse/PostToolUse/Stop), security patterns, exit codes, configuration types. Use when understanding hooks. No execution logic.

GitHub

code-reviewer

Geralt1983

Code review, PR analysis, and quality feedback. USE WHEN user mentions review, PR, pull request, code quality, best practices, feedback, suggestions, improvements, code smell, or asks to look at code for issues...

GitHub

pinpoint-typescript

timothyfroehlich

TypeScript strictest patterns, type guards, optional properties (exactOptionalPropertyTypes), Drizzle query safety, null checks. Use when fixing type errors, implementing complex types, or when user mentions Ty...

GitHub

research-rpi

jjjona

Document and explain existing codebases without critique or recommendations. Use when the user asks to research, investigate, or "look into" codebases (e.g., "research", "research this", "research the codebase...

GitHub

troubleshooter

Geralt1983

Debugging, error diagnosis, and problem resolution. USE WHEN user mentions bugs, errors, crashes, exceptions, not working, broken, debugging, fix, issue, problem, stack trace, logs, or asks why something isn't...

GitHub

learn-skill

Git-Fg

Improving and debugging skills through metacognitive analysis. Use when needing to analyzes skill execution patterns, identifies flaws in instructions, and refines skill content to improve performance.

GitHub

explanatory-output-style

PakmanGames

Provide educational insights and explanations about code. Use when the user asks questions like "how does this work", "explain", "why", "what does this do", "help me understand", or when exploring/learning abou...

GitHub

performance-optimizer

Geralt1983

Performance tuning, profiling, and optimization. USE WHEN user mentions slow, performance, optimize, speed, latency, throughput, memory, CPU, bottleneck, profiling, caching, or asks why something is slow or how...

GitHub

code-reviewer

KiefBC

Review code for best practices and potential issues. Use when reviewing code, checking PRs, or analyzing code quality.

GitHub

quickwit-log-search

terraphim

Log exploration and analysis using Quickwit search engine. Incident investigation, error pattern analysis, and observability workflows. Three index discovery modes for different performance and convenience trad...

GitHub

superpowers-debug

timothyfroehlich

Systematic debugging: reproduce, isolate, form hypotheses, instrument, fix, and add regression tests. Use when troubleshooting errors, failing tests, or unexpected behavior.

GitHub

lineage-and-provenance

AmnadTaowsoam

Track data lineage และ provenance เพื่อเข้าใจ data flow, dependencies และ impact analysis

GitHub

performance-regression-gates

AmnadTaowsoam

Gates สำหรับตรวจจับ performance regression ผ่าน benchmarks, bundle size, และ load time monitoring

GitHub

opentelemetry

AndVl1

OpenTelemetry observability - use for distributed tracing, metrics, instrumentation, Sentry integration, and monitoring

GitHub

session-replay

rysweet

Analyze claude-trace JSONL files for session health, patterns, and actionable insights. Use when debugging session issues, understanding token usage, or identifying failure patterns.

GitHub

xcode-build-performance

InvokeDev

Analyzes Xcode build timing to identify slow targets and optimization opportunities. Use when build is slow, user asks "why is the build so slow?", or wants to optimize compile times.

GitHub

profiling-nodejs-python

AmnadTaowsoam

Comprehensive guide to CPU and memory profiling in Node.js and Python for identifying bottlenecks and optimizing performance

GitHub

clickhouse-io

monch1962

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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