Use this skill BEFORE building complex tool chains. Optimize proactively. location: plugin token_budget: 200. Use when >3 tools chained sequentially, large datasets (>10k rows), large files (>50KB), context usage >25%. Do not use when simple tool calls that do not chain. DO NOT use when: context pressure is low and tools are fast.

Record browser sessions using Playwright for web UI tutorials, converts video to GIF.

Consult this skill when designing or evolving microservices architectures. 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.

Orchestrate tutorial generation from VHS tapes and Playwright specs to dual-tone markdown with GIF recording. tutorial update, gif generation, tape recording, update tutorial, regenerate gifs, tutorial manifest Use when: regenerating tutorial GIFs, updating documentation demos, creating tutorials from tape files DO NOT use when: only updating text - use doc-updates.

Retrospective workflow evaluation and improvement of skills, agents, commands, and hooks. workflow improvement, retrospective, workflow efficiency Use when: workflow felt slow, confusing, or needs optimization DO NOT use when: simple one-off fixes - use fix-pr or do-issue instead.

automatically create GitHub issues for workflow improvements via /fix-workflow. Use when workflows fail, timeout, or show inefficient patterns. Do not use when normal workflow execution, simple command errors.

Consult this skill for Python performance profiling and optimization. Use when debugging slow code, identifying bottlenecks, optimizing memory, benchmarking performance, production profiling. Do not use when async concurrency - use python-async instead. DO NOT use when: CPU/GPU system monitoring - use conservation:cpu-gpu-performance.

Transform specifications into implementation plans with architecture design and dependency-ordered tasks. Use for spec-to-plan conversion, task breakdown, effort estimation. Skip if no spec exists.

Evaluate and improve Claude skill quality through auditing. Use when reviewing skill quality, preparing skills for production, or auditing existing skills. Do not use when creating new skills (use modular-skills) or writing prose (use writing-clearly-and-concisely). Use this skill before shipping any skill to production.

Learn and extract writing style patterns from exemplar text for consistent application. Use when creating a style guide from existing content, ensuring consistency across documents, learning a specific author's voice, customizing AI output style. Do not use when detecting AI slop - use slop-detector instead. just need to clean up existing content - use doc-generator with --remediate. Use this skill to build style profiles from exemplar text.

Consult this skill when formatting final review deliverables. Use when formatting final review outputs, ensuring consistent deliverable structure, making findings comparable across reviews. Do not use when capturing evidence during analysis - use proof-of-work. DO NOT use when: reviewing changes - use diff-analysis or review-core first.

Uses subagents for parallel execution with code review gates between batches. Use when addressing issues systematically, multiple related issues need fixing, tasks can be parallelized across subagents, quality gates needed between task batches. Do not use when single simple fix - just implement directly. DO NOT use when: issue needs clarification - comment first to clarify scope.

Configure three-layer pre-commit system with linting, type checking, and testing hooks. Use for quality gate setup and code standards. Skip if pre-commit is optimally configured.

Generate or remediate documentation with human-quality writing and style adherence. Use when creating new documentation, rewriting AI-generated content, or applying style profiles. Do not use for slop detection only (use slop-detector) or learning styles (use style-learner).

Consult this skill when designing permanent memory palace structures. Use when creating new memory palace structures, organizing complex domains, designing spatial layouts for knowledge retention. Do not use when quick knowledge search - use knowledge-locator instead. DO NOT use when: session-specific context - use session-palace-builder.

Use this skill to quickly understand "what changed and what matters". 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.

Cross-plugin testing quality metrics and standards. Referenced by pensive:test-review and parseltongue:python-testing. testing standards, quality metrics, coverage thresholds, anti-patterns Use when: test quality evaluation, coverage thresholds, quality standards DO NOT use when: simple scripts without quality requirements.

Use this skill for PR preparation. Use when preparing PRs for submission, running quality gates, drafting PR descriptions and templates. Do not use when reviewing existing PRs - use pr-review instead. DO NOT use when: just generating commit messages - use commit-messages.

Run git-workspace-review first to capture repo context. Use when README requires structural refresh, adding features to documentation, aligning readme with exemplar standards, improving project presentation. Do not use when updating inline docs - use doc-updates. DO NOT use when: consolidating ephemeral reports - use doc-consolidation.

AWS cost optimization, monitoring, and operational excellence expert. Use when analyzing AWS bills, estimating costs, setting up CloudWatch alarms, querying logs, auditing CloudTrail activity, or assessing security posture. Essential when user mentions AWS costs, spending, billing, budget, pricing, CloudWatch, observability, monitoring, alerting, CloudTrail, audit, or wants to optimize AWS infrastructure costs and operational efficiency.