Revisió de codi

Revisió i anàlisi automatitzades del codi

Skills: 937–960 de 11146
vellum-ai

vellum-feature-flag-rollout

vellum-ai

Guide Vellum Assistant feature flag changes and rollout hygiene. Use when adding, editing, reviewing, or documenting assistant feature flags, rollout-gated behavior, or platform flag follow-up work.

Revisió de codi 1,4 k fa 4 mesos
thedotmack

Claude-Mem OpenClaw Plugin — Setup Guide

thedotmack

observationFeed.to string — Target chat/channel/user ID

Desenvolupament d’API 102,9 k fa 8 mesos
joeseesun

qiaomu-seo

joeseesun

Audit, diagnose, research, plan, implement, experiment on, and verify website SEO across Google, Bing, and AI-search surfaces. Use for technical SEO, crawling, rendering and indexing, JavaScript SEO, robots.txt, sitemaps, canonicals, redirects, status codes, metadata, internal linking, structured data, Core Web Vitals, keyword and intent research, content quality or pruning, SEO experiment design, traffic drops, migrations, international SEO and hreflang, ecommerce and product SEO, image or video search, large-site and programmatic SEO, IndexNow, Search Console or Webmaster Tools analysis, and AI Overviews, AI Mode, ChatGPT Search, Copilot, or Perplexity visibility. Use with URLs, website code, rendered pages, server logs, crawl files, first-party exports, and keyword datasets. Exclude paid-search campaign management, app-store optimization, generic LLM prompt optimization, ranking or citation guarantees, link spam, and unsupported metrics or causal claims.

Revisió de codi 459 fa 2 mesos
tjboudreaux

thinking-first-principles

tjboudreaux

When a constraint is treated as fixed, separate physics from convention, keep only independently supported primitives, and rebuild the simplest solution that satisfies real constraints.

Revisió de codi 1,7 k fa 3 mesos
tjboudreaux

thinking-scientific-method

tjboudreaux

When a symptom has several plausible causes, rank falsifiable hypotheses and run the cheapest discriminating observation first; prefer least-assumptive survivors only after evidence fit.

Revisió de codi 1,7 k fa 3 mesos
tjboudreaux

thinking-kepner-tregoe

tjboudreaux

Use when a selective defect needs IS/IS-NOT difference analysis or a consequential option choice needs must/want weighting and adverse-consequence comparison.

Revisió de codi 1,7 k fa 3 mesos
tjboudreaux

thinking-circle-of-competence

tjboudreaux

Use when a specific claim may lack grounding. Check evidence boundary, size wrongness cost, then answer, fetch, or abstain — never confabulate.

Autenticació 1,7 k fa 3 mesos
tjboudreaux

thinking-cynefin

tjboudreaux

When the right response mode is unclear, classify the cause-effect domain first; decompose disorder.

Revisió de codi 1,7 k fa 3 mesos
tjboudreaux

thinking-steel-manning

tjboudreaux

Before rejecting a proposal or reflexively agreeing, build the strongest faithful opposing case, state agreement conditions, then update or reaffirm.

Revisió de codi 1,7 k fa 3 mesos
tw93

health

tw93

"Runs a budget-aware agent-assisted engineering health audit for instruction/config drift, hooks/MCP, verifier surfaces, and AI maintainability. Use when users ask in any language to audit Claude, Codex, Pi, agent instructions, MCP or hooks, verifier coverage, or AI-maintainability drift. Not for debugging application code or reviewing PRs."

Eines de línia d’ordres 7,4 k fa 2 mesos
tw93

check

tw93

"Reviews code diffs, PRs, issue queues, release readiness, commits, pushes, publishing, and project audits. Use when users ask in any language for code review, issue or PR triage, release gates, publishing follow-through, or project audits. Not for debugging root causes or prose review."

Eines de línia d’ordres 7,4 k fa 2 mesos
tw93

think

tw93

"Turns rough ideas into approved, decision-complete plans with validated structure before coding. Use when users ask in any language for planning, architecture, design direction, feasibility, value judgment, or whether a feature is worth doing before implementation. Not for bug fixes or small edits."

Revisió de codi 7,4 k fa 2 mesos
pipecat-ai

changelog

pipecat-ai

Create changelog files for important commits in a PR

Generació de codi 16,8 k fa 8 mesos
pipecat-ai

pr-description

pipecat-ai

Update a GitHub PR description with a summary of changes

Revisió de codi 16,8 k fa 8 mesos
citypaul

test-design-reviewer

citypaul

Evaluates test quality using Dave Farley's 8 properties. Use when reviewing tests, assessing test suite quality, or analyzing test effectiveness against TDD best practices.

Revisió de codi 756 fa 9 mesos
pipecat-ai

pr-submit

pipecat-ai

Create and submit a GitHub PR from the current branch

Generació de codi 16,8 k fa 8 mesos
nimrodfisher

peer-review-template

nimrodfisher

Structured peer review for analytical work. Use when reviewing teammates' analysis, providing constructive feedback, or establishing analysis quality standards.

Generació de codi 494 fa 9 mesos
nimrodfisher

analysis-qa-checklist

nimrodfisher

Pre-delivery quality assurance for analysis work. Use when reviewing analysis before sharing with stakeholders, checking for completeness, validating assumptions, or ensuring clarity of recommendations.

Agents 494 fa 9 mesos
zubair-trabzada

geo

zubair-trabzada

GEO-first SEO analysis tool. Optimizes websites for AI-powered search engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining traditional SEO foundations. Performs full GEO audits, citability scoring, AI crawler analysis, llms.txt generation, brand mention scanning, platform-specific optimization, schema markup, technical SEO, content quality (E-E-A-T), and client-ready GEO report generation. Use when user says "geo", "seo", "audit", "AI search", "AI visibility", "optimize", "citability", "llms.txt", "schema", "brand mentions", "GEO report", or any URL for analysis.

Revisió de codi 11,2 k fa 5 mesos
efremidze

swift-architecture-skill

efremidze

Agent Skill for Swift architecture design and implementation patterns, with architecture-specific playbooks and review checklists. Use when designing new features, refactoring existing modules, reviewing pull requests, or debugging maintainability issues in SwiftUI/UIKit projects and you need concrete guidance for MVVM, MVI, TCA, Clean Architecture, VIPER, or Reactive patterns.

Automatització 75 fa 8 mesos
dotnet

test-anti-patterns

dotnet

Audit an existing test file or suite and produce a severity-ranked diagnostic report. ALWAYS USE for findings about tests that verify nothing, missing or tautological assertions, swallowed/broad exceptions, flaky or order-dependent tests, duplication, or magic values. Polyglot. DO NOT USE for direct edits: use writing-mstest-tests for supplied MSTest assertions, attributes, or lifecycle, and code-testing-agent for new tests. Do not use for running tests, migration, assertion metrics (assertion-quality), coverage/CRAP metrics, or the testsmells.org catalog (test-smell-detection).

Revisió de codi 5,7 k fa 2 mesos
dotnet

platform-detection

dotnet

Detect a .NET project's test platform/framework and SDK-style vs classic project system. ALWAYS USE for "which test platform/framework?", "VSTest or MTP?", a wrong dotnet test runner, or hidden runner settings in global.json, .csproj, packages.config, Directory.Build.props, or Directory.Packages.props. Handles SDK-version precedence and MSTest/xUnit/NUnit/TUnit. DO NOT USE for running/filtering tests (run-tests), hot reload, or migration.

Eines de línia d’ordres 5,7 k fa 2 mesos
dotnet

improve-skill-quality

dotnet

Diagnoses and fixes skills in the dotnet/skills repository that lose to their own baseline, fail to activate, time out, or return "no credible improvement". Use when an evaluation verdict is a regression or underpowered, when a skill regressed after a change, when /evaluate reports no results, or when deciding whether a weak skill should be strengthened or retired. Do not use for scaffolding a brand-new skill (use create-skill) or a brand-new eval (use create-skill-test).

Revisió de codi 5,7 k fa 2 mesos
dotnet

analyzing-dotnet-performance

dotnet

Scans .NET code for ~50 performance anti-patterns across async, memory, strings, collections, LINQ, regex, serialization, and I/O with tiered severity classification. Use when analyzing .NET code for optimization opportunities, reviewing hot paths, or auditing allocation-heavy patterns.

Revisió de codi 5,7 k fa 5 mesos