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Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
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Extract leads from competitor product activity — Product Hunt commenters/upvoters, HN posts about competitors, case studies, testimonials, tech press, and switching signals. Detects people actively switching from competitors as highest-priority leads.
Builds personalized demo assets for top prospects using the founder's product API/MCP/SDK. Researches prospect, proposes demo concepts, builds working prototype, tests it, and generates comparison report with live demo link.
Find attendees at conferences/events, research their companies, qualify against ICP, and launch outreach
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Testing conventions using pytest. Use when writing tests, creating fixtures, or running test suites.
Use this skill whenever the user wants speech to sound more human, companion-like, or emotionally expressive. Triggers include: any mention of 'say like', 'talk like', 'speak like', 'companion voice', 'comfort me', 'cheer me up', 'sound more human', 'good night voice', 'good morning voice', or requests to add fillers, emotion, or personality to generated speech. Also use when the user wants to mimic a specific character's voice, apply speaking style presets (goodnight, morning, comfort, celebration, chatting), tune emotional parameters like warmth or tenderness, or make TTS output feel like a real person talking. If the user asks for a 'voice message', 'companion audio', 'character voice', or wants speech that sighs, laughs, hesitates, or sounds genuinely warm, use this skill. Do NOT use for plain text-to-speech without personality, music generation, sound effects, or general coding tasks unrelated to expressive speech.
Fetches the latest news using news-aggregator-skill, formats it into a podcast script in Markdown format, and uses the tts skill to generate a podcast audio file. Use when the user asks to get the latest news and read it out as a podcast.
Use this skill whenever the user wants to generate sound effects, ambient audio, or short audio clips from a text description. Triggers include: any mention of 'sound effect', 'sfx', 'generate sound', 'make a sound', 'audio effect', 'ambient sound', 'foley', 'sound clip', 'noise', or requests to produce a specific sound (e.g. 'make a gunshot sound', 'generate thunder', 'create the sound of rain'). Also use when the user describes an action or scenario and wants the corresponding audio (e.g. 'someone getting spanked', 'a door slamming', 'cartoon boing'). Do NOT use for speech synthesis, music generation with melody/lyrics, or voice cloning.
Implements keyboard, directional, and scene-level focus behavior across SwiftUI and UIKit. Use when managing @FocusState, defaultFocus, focused values, focusable interactions, focus sections, tvOS geometric focus model and Siri Remote navigation, watchOS Digital Crown focus, visionOS gaze/hover and RealityKit InputTargetComponent, macOS key view loop and Full Keyboard Access, focus restoration after presentation changes, custom focus routing with UIFocusGuide, or debugging focus with UIFocusDebugger.
Manages iOS Simulator devices and tests app behavior using xcrun simctl. Covers device lifecycle (create, boot, shutdown, erase, delete), app install and launch, push notification simulation, location simulation, permission grants via privacy subcommand, deep link testing via openurl, status bar overrides, screenshot and video recording, log streaming with os_log filtering, get_app_container paths, and #if targetEnvironment(simulator) compile-time checks. Use when creating or managing simulator devices, testing push notifications without APNs, simulating GPS locations, granting or resetting privacy permissions, capturing screenshots or screen recordings from the command line, streaming device logs, debugging simulator boot failures, troubleshooting CoreSimulator issues, or checking simulator hardware limitations.
Writes and migrates tests using the Swift Testing framework with @Test, @Suite, #expect, #require, confirmation, parameterized tests, test tags, traits, withKnownIssue, XCTest UI testing, XCUITest, test plan, mocking, test doubles, testable architecture, snapshot testing, async test patterns, test organization, and test-driven development in Swift. Use when writing or migrating tests with Swift Testing framework, implementing parameterized tests, working with test traits, converting XCTest to Swift Testing, or setting up test organization and mocking patterns.
Debug issues by investigating logs, database state, and git history
axe-core integration, WCAG 2.2 AA checklist, keyboard navigation testing, screen reader testing, and ARIA pattern validation.
Terminal pet that lives in your statusline. 12 species, 5 stats (DEBUGGING, PATIENCE, CHAOS, WISDOM, SPEED). Reacts to your workflow - happy when tests pass, sad when builds fail, excited during swarm mode. Deterministic species from user ID.
Reference guide for Agentica multi-agent infrastructure APIs
Post-implementation cleanup that removes AI-generated bloat while preserving functionality. Runs pass-by-pass with test verification after each pass. Activate after kraken/spark complete a feature, or when a codebase needs hygiene work.
API design, versioning, testing, schema validation, and contract testing patterns for REST and GraphQL APIs.
Voice framework, visual identity standards, color palette management, typography specs, brand consistency
Traffic splitting, health checks, automated rollback, progressive delivery, and canary analysis for safe deployments.
Failure injection patterns, blast radius control, steady state hypothesis, and gameday planning for resilience testing.
GitHub Actions workflow templates, matrix builds, caching, and monorepo CI strategies
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
You are about to reverse-engineer and rebuild **$ARGUMENTS** as a pixel-perfect clone.
Commit mesajlarina yapilandirilmis karar trailer'lari ekle. Constraint, Rejected, Confidence, Scope-risk, Not-tested trailer'lari ile karar baglamini koru.
Design system token management, component API design, Storybook, and visual regression testing patterns
Pact consumer-driven contracts, provider verification, schema evolution
Find unused functions and dead code in the codebase
Mathematically rigorous Socratic interview system that drives ambiguity below 20% before any code is written. One question per message, weighted ambiguity scoring, brownfield-aware, outputs a complete PRD. Replaces discovery-interview with a stricter protocol.
Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.
Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.
Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles
Otonom deney dongusu. Kod degisikligi yap, olc, karsilastir, kabul et veya geri al. Metrik bazli karar verme ile performans, boyut veya kalite optimizasyonu. Tek basina veya agent ile kullan.
Autonomous experiment loop: hypothesize > modify > test > evaluate > keep/discard > repeat. Run N experiments automatically with measurable metrics. Works for performance optimization, A/B testing, prompt engineering, and any measurable improvement task.
Explicit Identity Across Boundaries
Gradual rollout strategies, kill switches, A/B testing integration, flag lifecycle management, and technical debt prevention.
frontend-dev
Phase transition validation with artifact checklists, PASS/FAIL/CONDITIONAL gates for workflows
Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.
Multi-page deep crawling - documentation sites, wikis, knowledge bases
Complete Claude Code hooks reference - input/output schemas, registration, testing patterns
Implement technical plans from thoughts/shared/plans with verification
Implement technical plans from thoughts/shared/plans with verification
Pod design patterns, sidecar containers, init containers, config management, rolling updates, and resource limits.