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Found 7,059 Skills
Compatibility router for the shared optimization knowledge base and the language-specific optimization catalog skills. Use when: (1) selecting which optimization catalog skill to load, (2) the implementation language is not fixed yet, (3) a workflow still references the legacy optimization-catalog skill name, (4) deciding whether a finding is shared or language-specific, (5) updating the generalized knowledge-base structure.
Complete coaching skills for Taiwanese nursing staff to write evidence-based nursing reports (evidence-based reading reports, evidence-based case analyses), designed specifically for the N1–N4 nursing advancement system and the review formats of the Taiwan Nurses Association and Taiwan Evidence-Based Nursing Association. This skill must be triggered when users mention terms such as "evidence-based nursing report", "evidence-based case analysis", "evidence-based reading report", "N2 report", "N3 report", "N4 report", "nursing advancement report", "nursing promotion", "PICO", "5A Steps", "CASP Appraisal", "nursing EBP", "EBN", "evidence-based nursing", "evidence-based care", "evidence level", "literature appraisal", or when any nursing staff asks about promotion writing, transforming clinical problems into evidence-based topics, evidence-based literature search strategies, CASP appraisal forms, Oxford evidence levels, APA 7th edition format, applying evidence-based interventions to cases, challenging nursing routines, dispelling nursing myths, etc. Even if users casually say "I need to write a report", "I want to advance to N3", "Help me find a topic", "Help me set up PICO", "How to appraise this literature", this skill should be actively activated to provide complete structures, sentence patterns, and writing strategies with the highest review pass rate.
MaxIQ platform help — AI-native revenue intelligence with EchoIQ conversation intelligence, InspectIQ pipeline visibility, ForecastIQ AI-driven forecasting, 9 AI agents (NoteTaker, Radar, Summarizer, Coach, Taskmaster, Watchdog, Forecaster, Revenue Planner, Deal Mapper), usage-based pricing (no per-seat), Salesforce/HubSpot CRM sync. Use when EchoIQ not capturing all meeting types, AI Coach scoring criteria not matching your sales process, CRM fields not auto-populating from calls, InspectIQ deal signals seem inaccurate, ForecastIQ predictions not matching reality, comparing MaxIQ vs Gong vs Clari for revenue intelligence, setting up AI Radar keyword tracking, or evaluating usage-based CI pricing vs per-seat alternatives. Do NOT use for designing outbound cadences (use /sales-cadence) or cross-platform coaching programs (use /sales-coaching).
Guide for setup Codemap CLI for intelligent codebase visualization and navigation
Use these skills when you need to explore the database schema, identify objects like views and triggers, and execute custom SQL queries to interact with your data.
[Hyper] Analyze vague or relayed non-developer stakeholder requests (client, executive, PM, sales/support) by mapping them to codebase impact, presenting interpretation candidates with risks, then implementing only after confirmation. Use for stakeholder-message analysis, not browser QA testing, CI/build failures, or already-clear technical tasks.
Creates a complete Amazon Aurora database cluster with instances, handling cluster creation, instance provisioning, and Secrets Manager password management in the proper sequence. Use when setting up new Aurora MySQL or PostgreSQL clusters with production-ready configuration.
Analyze a user's codebase to verify it can use Runway's public API (server-side requirement)
Help users add knowledge base documents to Runway Characters for domain-specific conversations
Search and analyze a codebase with the `codemap` CLI: semantic search, symbol lookup, dependency tracing, file summaries, importance ranking, coupling metrics, and cycle detection. Use when the user wants architecture-aware code discovery rather than plain text search.
This skill should be used when debugging full-stack issues that span UI, backend, and database layers. It provides a systematic workflow to detect errors, analyze root causes, apply fixes iteratively, and verify solutions through automated server restarts and browser-based testing. Ideal for scenarios like failing schedulers, import errors, database issues, or API payload problems where issues originate in backend code but manifest in the UI.
Executes the full PR-driven development workflow: create an isolated feature branch from the current work, commit all staged changes, rebase cleanly onto the selected base branch (skipping any ancestor commits already merged), push the branch, and open a GitHub pull request linked to a related issue. Includes guidance for stacked/chained PRs. Invoked when the user says "open a PR", "create a pull request", "push and PR", or "branch, rebase and PR".