分析原始提示，识别意图和差距，匹配ECC组件（技能/命令/代理/钩子），并输出一个可直接粘贴的优化提示。仅提供咨询角色——绝不自行执行任务。触发时机：当用户说“优化提示”、“改进我的提示”、“如何编写提示”、“帮我优化这个指令”或明确要求提高提示质量时。中文等效表达同样触发：“优化prompt”、“改进prompt”、“怎么写prompt”、“帮我优化这个指令”。不触发时机：当用户希望直接执行任务，或说“直接做”时。不触发时机：当用户说“优化代码”、“优化性能”、“optimize performance”、“optimize this code”时——这些是重构/性能优化任务，而非提示优化。

affaan-m160.3k

디버깅

Agent Eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics

affaan-m160.3k

디버깅

Benchmark

Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.

affaan-m160.3k

디버깅

Click Path Audit

Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.

affaan-m160.3k

디버깅

Canary Watch

Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.

affaan-m160.3k

디버깅

Context Budget

Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.

affaan-m160.3k

디버깅

Deep Research

Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.

affaan-m160.3k

디버깅

Exa Search

Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.

affaan-m160.3k

디버깅

Flutter Dart Code Review

Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.

affaan-m160.3k

디버깅

Laravel Plugin Discovery

Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.

affaan-m160.3k

디버깅

Kotlin Ktor Patterns

Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.

affaan-m160.3k

디버깅

Messages Ops

Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.

affaan-m160.3k

디버깅

Kotlin Coroutines Flows

Kotlin Coroutines and Flow patterns for Android and KMP — structured concurrency, Flow operators, StateFlow, error handling, and testing.

affaan-m160.3k

디버깅

Prompt Optimizer

Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only — never executes the task itself. TRIGGER when: user says "optimize prompt", "improve my prompt", "how to write a prompt for", "help me prompt", "rewrite this prompt", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: "优化prompt", "改进prompt", "怎么写prompt", "帮我优化这个指令". DO NOT TRIGGER when: user wants the task executed directly, or says "just do it" / "直接做". DO NOT TRIGGER when user says "优化代码", "优化性能", "optimize performance", "optimize this code" — those are refactoring/performance tasks, not prompt optimization.

affaan-m160.3k

디버깅

Repo Scan

Cross-stack source code asset audit — classifies every file, detects embedded third-party libraries, and delivers actionable four-level verdicts per module with interactive HTML reports.

affaan-m160.3k

디버깅

Social Graph Ranker

Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.

affaan-m160.3k

디버깅

Security Bounty Hunter

Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings.

affaan-m160.3k

디버깅

Systematic Debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

obra158.6k

디버깅

Component Refactoring

Refactor high-complexity React components in Langflow frontend. Use when manual complexity assessment shows complexity > 50 or lineCount > 300, when the user asks for code splitting, hook extraction, or complexity reduction; avoid for simple/well-structured components, third-party wrappers, or when the user explicitly wants testing without refactoring.

langflow-ai147.1k

디버깅

V8 Jit

V8 JIT optimization patterns for writing high-performance JavaScript in Next.js server internals. Use when writing or reviewing hot-path code in app-render, stream-utils, routing, caching, or any per-request code path. Covers hidden classes / shapes, monomorphic call sites, inline caches, megamorphic deopt, closure allocation, array packing, and profiling with --trace-opt / --trace-deopt.

vercel139.0k

디버깅

Runtime Debug

Debug and verification workflow for runtime-bundle and module-resolution regressions. Use when diagnosing unexpected module inclusions, bundle size regressions, or CI failures related to NEXT_SKIP_ISOLATE, nft.json traces, or runtime bundle selection (module.compiled.js). Covers CI env mirroring, full stack traces via __NEXT_SHOW_IGNORE_LISTED, route trace inspection, and webpack stats diffing.

vercel139.0k

디버깅

Next.js Cache Components

Expert guidance for Next.js Cache Components and Partial Prerendering (PPR). **PROACTIVE ACTIVATION**: Use this skill automatically when working in Next.js projects that have `cacheComponents: true` in their next.config.ts/next.config.js. When this config is detected, proactively apply Cache Components patterns and best practices to all React Server Component implementations. **DETECTION**: At the start of a session in a Next.js project, check for `cacheComponents: true` in next.config. If enabled, this skill's patterns should guide all component authoring, data fetching, and caching decisions. **USE CASES**: Implementing 'use cache' directive, configuring cache lifetimes with cacheLife(), tagging cached data with cacheTag(), invalidating caches with updateTag()/revalidateTag(), optimizing static vs dynamic content boundaries, debugging cache issues, and reviewing Cache Component implementations.

vercel139.0k

디버깅

Dce Edge

DCE-safe require() patterns and edge runtime constraints. Use when writing conditional require() calls, guarding Node-only imports (node:stream etc.), or editing define-env-plugin.ts / app-render / stream-utils for edge builds. Covers if/else branching for webpack DCE, TypeScript definite assignment, the NEXT_RUNTIME vs real feature flag distinction, and forcing flags false for edge in define-env.ts.

vercel139.0k

디버깅

Pr Status Triage

Triage CI failures and PR review comments using scripts/pr-status.js. Use when investigating failing CI jobs, flaky tests, or PR review feedback. Covers blocker-first prioritization (build > lint > types > tests), CI env var matching for local reproduction, and the Known Flaky Tests distinction.

vercel139.0k

디버깅

Chrome Release Cls

Given a Chrome Releases blog post URL (chromereleases.googleblog.com), extract every CVE/bug and find the underlying Gerrit CL that fixed it by searching the local Chromium checkout and sub-repos. Use when asked to map Chrome security release notes to fixing CLs, or to find which commits correspond to CVEs in a Chrome stable update.

electron121.0k

디버깅

Chrome Release → Validated Backport PR

End-to-end Chrome security backport for an Electron release branch. Given a Chrome Releases blog URL and a branch (e.g. 41-x-y), determines which CVE fixes are missing from the *actual synced source*, writes the cherry-pick patches locally, validates them with `e sync --3` + `lint --patches`, then pushes a single PR. Use when asked to backport a Chrome security release to N-x-y, "is CVE-X already in N-x-y?", or to produce/validate the cherry-pick set for a release branch.

electron121.0k

디버깅

Debugger

Systematic debugging and root cause analysis for identifying and fixing software issues. Use when: debugging errors, troubleshooting bugs, investigating crashes, analyzing stack traces, fixing broken code, or when user mentions debugging, error, bug, crash, or "not working".

Shubhamsaboo106.3k

디버깅

Code Reviewer

Reviews code for security vulnerabilities, performance issues, and best practices. Use when reviewing code, performing security audits, checking for code quality, reviewing pull requests.

Shubhamsaboo106.3k

디버깅

Review Duplication

Use this skill during code reviews to proactively investigate the codebase for duplicated functionality, reinvented wheels, or failure to reuse existing project best practices and shared utilities.

google-gemini101.7k

디버깅

Async Pr Review

Trigger this skill when the user wants to start an asynchronous PR review, run background checks on a PR, or check the status of a previously started async PR review.

google-gemini101.7k

디버깅 Skills | Skills Pool