Content & Media

Guides Claude in creating well-structured SKILL.md files following best practices. Provides clear guidelines for naming, structure, and content organization to make skills easy to discover and execute.

This skill should be used when the user asks to "analyze my product", "research competitors", "find feature gaps", "create feature request", "prioritize backlog", "generate PRD", "plan roadmap", "what should we build next", "competitive analysis", "gap analysis", "sync issues", or mentions product management workflows. Provides AI-native PM capabilities for startups with signal-based feature tracking, the WINNING prioritization filter, and GitHub Issues integration with deduplication.

Universal challenge tracker with flexible cadence, intelligent insights, and cross-challenge learning detection. Use when user wants to track any personal challenge - learning, habits, building, fitness, creative, or custom. Supports daily, weekly, or N-day check-ins with type-adaptive preferences, backlog, and context files.

Systematic approach for creating minimal-change, reversible implementation plans. Claude invokes this skill when transforming requirements/research into executable blueprints. Emphasizes simplicity, safety, and clear verification steps.

Arma Reforger Workbench workflow, testing guidelines, and debugging patterns

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Triggers: asyncio, async/await, coroutines, concurrent programming, async API, I/O-bound, websockets, background tasks, semaphores, async context managers Use when: building async APIs, concurrent systems, I/O-bound applications, implementing rate limiting, async context managers DO NOT use when: CPU-bound optimization - use python-performance instead. DO NOT use when: testing async code - use python-testing async module. Consult this skill for async Python patterns and concurrency.

Enforces "prove before claim" discipline - validation, testing, and evidence requirements before declaring work complete. Triggers: completion, finished, done, working, should work, configured, ready to use, implemented, fixed Use when: claiming ANY work is complete, recommending solutions, stating something will work, finishing implementations DO NOT use when: explicitly asking questions or requesting clarification DO NOT use when: work is clearly in-progress and not claiming completion CRITICAL: This skill is MANDATORY before any completion claim. Violations result in wasted time and eroded trust.

Generate terminal recordings using VHS (Charmbracelet) tape files. Executes tape files to produce GIF outputs of terminal sessions. Triggers: terminal recording, vhs tape, terminal demo, cli demo Use when: creating terminal recordings for tutorials and documentation

Methodology for summarizing changes, extracting insights, and identifying follow-up actions. Triggers: catchup, what changed, summarize changes, context acquisition, handoff, progress review, recent changes, git log analysis, sprint summary Use when: resuming work after absence, preparing handoff documentation, reviewing sprint progress, analyzing git history for context DO NOT use when: doing detailed diff analysis - use diff-analysis instead. DO NOT use when: full code review needed - use review-core instead. Use this skill to quickly understand "what changed and what matters".

Guide to effective Claude Code skill authoring using TDD methodology and persuasion principles. Triggers: skill authoring, skill writing, new skill, TDD skills, skill creation, skill best practices, skill validation, skill deployment, skill compliance Use when: creating new skills from scratch, improving existing skills with low compliance rates, learning skill authoring best practices, validating skill quality before deployment, understanding what makes skills effective DO NOT use when: evaluating existing skills - use skills-eval instead. DO NOT use when: analyzing skill architecture - use modular-skills instead. DO NOT use when: writing general documentation for humans. YOU MUST write a failing test before writing any skill. This is the Iron Law.

Interactive selector and implementation planner for architecture paradigms. Triggers: architecture selection, pattern comparison, system design, ADR creation, architecture decision, paradigm evaluation, new system architecture, architecture planning, which architecture, compare architectures Use when: selecting architecture patterns for new systems, comparing paradigm trade-offs, creating architecture decision records, evaluating architecture fit for team size and domain complexity, planning implementation roadmaps DO NOT use when: implementing a specific known paradigm - use the specific architecture-paradigm-* skill (hexagonal, layered, microservices, etc.) instead. DO NOT use when: reviewing existing architecture - use architecture-review instead. Use this skill BEFORE making architecture decisions. Check even if unsure about needs.

Workflow for capturing evidence and citations to create reproducible analyses and audit trails. Triggers: evidence capture, citations, reproducible analysis, audit trail, documentation, evidence logging, findings documentation Use when: conducting any review that needs evidence trails, creating audit documentation, ensuring reproducibility of analyses DO NOT use when: quick informal checks without documentation needs. DO NOT use when: structured output is the focus - use structured-output. Use this skill as foundation for all evidence-based review workflows.

Development tooling standards including Deno runtime, JSR package registry, and configuration files. Use when setting up projects, managing dependencies, or configuring build tools.

Transform tool-heavy workflows into MCP code execution patterns for token savings and optimized processing. Triggers: MCP, code execution, tool chain, data pipeline, tool transformation, batch processing, workflow optimization Use when: >3 tools chained sequentially, large datasets (>10k rows), large files (>50KB), context usage >25% DO NOT use when: simple tool calls that don't chain. DO NOT use when: context pressure is low and tools are fast. Use this skill BEFORE building complex tool chains. Optimize proactively.

Use a Layered (N-Tier) architecture to separate presentation, domain logic, and data access responsibilities within a system. Triggers: layered architecture, n-tier, separation of concerns, presentation layer, data access layer, service layer, traditional architecture, monolith structure, layer enforcement, dependency direction Use when: building traditional applications with clear boundaries, working with moderate-sized teams, needing familiar and well-understood patterns, compliance requirements demand clear separation DO NOT use when: selecting from multiple paradigms - use architecture-paradigms first. DO NOT use when: high scalability needs independent component scaling. DO NOT use when: teams need independent deployment cycles - use microservices. Consult this skill when implementing layered patterns or enforcing layer boundaries.

Decompose systems into a suite of small, independently deployable services aligned to specific business capabilities. Triggers: microservices, service decomposition, independent deployment, team autonomy, distributed system, API gateway, service mesh, bounded contexts, polyglot persistence Use when: teams need high autonomy and independent releases, different capabilities have distinct scaling needs, strong DevOps/SRE maturity exists, polyglot tech stacks needed DO NOT use when: selecting from multiple paradigms - use architecture-paradigms first. DO NOT use when: small team with low organizational complexity. DO NOT use when: lack of DevOps maturity or limited platform engineering resources. DO NOT use when: strong transactional consistency required across operations. Consult this skill when designing or evolving microservices architectures.

Evaluate and improve Claude skill quality through auditing. Triggers: skill audit, quality review, compliance check, improvement suggestions, token usage analysis, skill evaluation, skill assessment, skill optimization, skill standards, skill metrics, skill performance Use when: reviewing skill quality, preparing skills for production, auditing existing skills, generating improvement recommendations, checking compliance with standards, analyzing token efficiency, benchmarking skill performance DO NOT use when: creating new skills from scratch - use modular-skills instead. DO NOT use when: writing prose for humans - use writing-clearly-and-concisely. DO NOT use when: need architectural design patterns - use modular-skills. Use this skill BEFORE shipping any skill to production. Check even if unsure.

Python testing with pytest, fixtures, mocking, and TDD workflows. Triggers: pytest, unit tests, test fixtures, mocking, TDD, test suite, coverage, test-driven development, testing patterns, parameterized tests Use when: writing unit tests, setting up test suites, implementing TDD, configuring pytest, creating fixtures, async testing DO NOT use when: evaluating test quality - use pensive:test-review instead. DO NOT use when: infrastructure test config - use leyline:pytest-config. Consult this skill for Python testing implementation and patterns.

Record browser sessions using Playwright for web UI tutorials. Captures video of browser interactions that can be converted to GIF. Triggers: browser recording, playwright, web demo, ui recording Use when: creating browser-based tutorials showing web UI interactions

Generic weighted scoring and threshold-based decision framework for evaluating artifacts against configurable criteria. Triggers: evaluation, scoring, quality gates, decision framework, rubrics, weighted criteria, threshold decisions, artifact evaluation Use when: implementing evaluation systems, creating quality gates, designing scoring rubrics, building decision frameworks DO NOT use when: simple pass/fail without scoring needs. Consult this skill when building evaluation or scoring systems.