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。
詳しく見る →Scrape and search Reddit posts using Apify. Use when you need to find Reddit discussions, track competitor mentions, monitor product feedback, discover pain points, or analyze subreddit content. Supports keyword filtering, time-based searches, and subreddit-specific queries.
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Portable visual skill pack for the Agent Skills ecosystem (Claude Code, Claude Desktop, Claude Cowork, Claude Design, Goose, Cursor, Codex). Ships 36 aesthetic presets in DESIGN.md format, 7 social-first format specs, extract-style from reference images, and automatic PNG export via Playwright.
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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
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.
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
You are about to reverse-engineer and rebuild **$ARGUMENTS** as a pixel-perfect clone.
Pact consumer-driven contracts, provider verification, schema evolution
Find unused functions and dead code in the codebase
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
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.
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.
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
KVKK and GDPR compliance patterns - consent management, right to erasure, breach notification, audit logging, cookie consent, and data classification.
Hizlica kural/ogrenim kaydet. CLAUDE.md'ye ve memory'ye yazar. Kullanim: /learn <kural>
k6 script templates, load profiles, response time thresholds, SLO validation, and performance testing strategies.
Structured logging with Pino/Winston, OpenTelemetry tracing, metrics collection, Grafana dashboards, and alerting rules.
Load testing with k6/Artillery, response time thresholds, memory leak detection, N+1 query detection, and CI integration.
Example template for project-specific skill files covering architecture, patterns, testing, and deployment.
Property-based testing (PBT) patterns with fast-check (JS/TS), Hypothesis (Python), and gopter (Go). Generate random inputs, define invariants, shrink failures to minimal cases. Adapted from Trail of Bits. Use when testing pure functions, parsers, serializers, state machines, or any code where example-based tests miss edge cases.
Analyze repository structure, patterns, conventions, and documentation for understanding a new codebase
Self-healing codebase system. Monitors runtime errors, test failures, and build breaks. Automatically diagnoses root cause, generates fix, validates fix, and applies if safe. Zero human intervention for routine failures.
Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.
Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.
Pre-search topic resolution. Maps vague queries to concrete entities (GitHub orgs, X handles, subreddits, docs URLs) before searching. Run as first step of any research workflow to dramatically improve search precision.
VP Engineering perspective - org design (team topologies), process improvement, cross-team dependencies, engineering culture, OKRs, incident management maturity, platform strategy, DX optimization, release management at scale
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Use when you need to generate Java project diagrams — including UML sequence diagrams, UML class diagrams, C4 model diagrams, UML state machine diagrams, and ER (Entity Relationship) diagrams — through a modular, step-based interactive process that adapts to your specific visualization needs. Part of the skills-for-java project
Use when you need to take a `*.plan.md` file and turn it into OpenSpec change artifacts by validating OpenSpec installation, initializing or reusing an OpenSpec project, and creating or updating a change proposal/spec/tasks flow. Includes a concrete workflow based on `examples/requirements-examples/problem1/requirements/openspec`. Part of the skills-for-java project
Use when you need to add or configure Maven plugins in your pom.xml — including quality tools (enforcer, surefire, failsafe, jacoco, pitest, spotbugs, pmd), security scanning (OWASP), code formatting (Spotless), version management, container image build (Jib), build information tracking, and benchmarking (JMH) — through a consultative, modular step-by-step approach that only adds what you actually need. Part of the skills-for-java project
Use when you need to apply Java exception handling best practices — including using specific exception types, managing resources with try-with-resources, securing exception messages, preserving error context via exception chaining, validating inputs early with fail-fast principles, handling thread interruption correctly, documenting exceptions with @throws, enforcing logging policy, translating exceptions at API boundaries, managing retries and idempotency, enforcing timeouts, attaching suppressed exceptions, and propagating failures in async/reactive code. Part of the skills-for-java project
Use when you need to apply testing strategies for Java code — RIGHT-BICEP to guide test creation, A-TRIP for test quality characteristics, or CORRECT for verifying boundary conditions. Part of the skills-for-java project