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Found 6,615 Skills
When the user wants to optimize hospitality purchasing, manage hotel/restaurant suppliers, or improve procurement processes. Also use when the user mentions "hotel procurement," "restaurant purchasing," "hospitality sourcing," "F&B procurement," "hotel supplier management," "group purchasing organization," "contract negotiation," or "hospitality spend management." For hotel operations, see hotel-inventory-management. For cruise operations, see cruise-supply-chain.
Unity New Input System correctness patterns. Catches common mistakes with action reading (triggered vs IsPressed vs WasPressedThisFrame), action map switching, rebinding persistence, InputValue lifetime, PassThrough vs Value, local multiplayer device assignment, and control scheme auto-switching. PATTERN format: WHEN/WRONG/RIGHT/GOTCHA. Based on Unity 6.3 LTS.
Provides guidance for automatically evolving and optimizing AI agents across any domain using LLM-driven evolution algorithms. Use when building self-improving agents, optimizing agent prompts and skills against benchmarks, or implementing automated agent evaluation loops.
Document the pitfalls encountered or good practices discovered during this work into searchable learning documents, so that both AI and humans can look them up when similar tasks arise in the future. Two tracks: The pitfall track records experiences where "things should have worked but didn't" — bugs, configuration traps, environment issues, integration failures; The knowledge track records findings that "should be the default approach going forward" — best practices, workflow improvements, reusable patterns. Trigger scenarios: Proactively prompt for input when wrapping up feature-acceptance or issue-fix, or when the user says phrases like "document knowledge", "learning", "document learnings", "record this experience". Spec documents record what was done and how it was done, while learning documents record what pitfalls were encountered / what was learned — the two complement each other and are not interchangeable.
Install, initialize, verify, and troubleshoot RTK (Rust Token Killer) for AI coding agents. Use when you need to reduce shell-command token output, confirm that the correct `rtk` binary is installed, choose between Homebrew, install.sh, or Cargo installation, wire `rtk init` for Claude Code, Codex, Gemini CLI, Cursor, Copilot, Windsurf, Cline, or OpenCode, or use compact wrappers such as `rtk git status`, `rtk read`, `rtk grep`, `rtk test`, `rtk lint`, and `rtk gain`. Triggers on: rtk, rust token killer, token saver cli, rtk init, rtk gain, codex rtk, gemini rtk, opencode rtk, claude hook token reduction.
DocuSeal development reference. Embed signing forms and template builder into web and mobile apps (JS/React/Vue/Angular, WebView, JWT, CSS theming). REST API with all endpoints, request/response schemas, code examples (cURL, CLI, Node.js, TypeScript, Python, Ruby, PHP, Go, C#, Java), and webhooks. Use when the user wants to integrate DocuSeal document signing or template management into their application.
Phase 2 of the feature workflow —— Write code according to the implementation sequence in {slug}-design.md, and submit a completion report in a unified format for user review after finishing. Prerequisites: {slug}-design.md has been approved (standard design includes test design, or fastforward design includes acceptance criteria), and {slug}-checklist.yaml exists in the same directory. Trigger scenarios: User says "The plan is confirmed, start implementation", "Write code according to the plan", "Start working". If you encounter situations not covered by the plan during implementation (new concepts, out-of-scope files, need for patch branches), proactively stop and go back to discuss the plan instead of pushing forward blindly.
Ultra-lightweight channel for refactor processes - used when changes are clearly too small to go through the full scan → design → apply three-stage workflow. AI directly identifies 1-3 low-risk optimization points, confirms with the user once, modifies in-place using classic methods, and validates itself by running tests. No scan checklist, no design documentation, no multi-step human verification required. Trigger scenarios: User says "quick refactor", "small refactor", "simply optimize XX function", "modify directly", "skip the extra steps", and the scope of changes is clearly localized to a single function / single component with test coverage for self-validation.
Creates or updates software localizations/translations. Use when the user wants to translate a project to a new language, add a new locale, create translations, localize strings, or work with i18n/l10n files. Handles any project type (React, Vue, iOS, Android, Rails, Django, .NET, etc.) by auto-detecting the localization framework.
· Configure/tune/migrate PostgreSQL, MongoDB, MySQL/MariaDB, MSSQL. Triggers: 'database', 'postgres', 'mysql', 'mongodb', 'schema', 'migration', 'pgbouncer', 'EXPLAIN'.
PRD/Requirement Document Anti-Omission Assistant. When a user provides a requirement document (PRD, functional specification, product document, etc.) and requests to generate front-end pages, implement functions, or carry out development, this Skill must be used first to convert the requirement document into a structured Checklist, then implement code module by module to prevent function omissions. Trigger scenarios: The user sends a .md/.docx/.pdf requirement document and asks you to "generate pages", "implement functions", "write code", "develop this system"; the user says "develop according to this PRD", "generate based on the requirement document", "implement this document"; the user provides a requirement description of more than 200 lines. Even if the user does not mention the checklist, this process should be automatically triggered if the input is a long requirement document (>200 lines) and the goal is to generate code.
CallMiner platform help — enterprise conversation analytics (Eureka) with omnichannel interaction capture, automated QA scoring, agent coaching, real-time alerts, compliance monitoring, and CX automation. Use when QA scoring is inconsistent or takes too long across agents, when needing to analyze 100% of customer interactions instead of sampling, when setting up automated compliance monitoring for regulated industries (healthcare, finance, collections), when CallMiner Coach scorecards aren't surfacing the right coaching moments, when CallMiner RealTime alerts aren't triggering during live calls, when ingesting audio or text into CallMiner via the Ingestion API, when CallMiner Analyze categories aren't matching expected interactions, or when evaluating CallMiner vs Observe.AI or NICE CXone analytics. Do NOT use for CCaaS platform selection (use /sales-ccaas-selection) or for sales-specific coaching strategy (use /sales-coaching).