Total 50,615 skills
Showing 12 of 50615 skills
Generate comprehensive Vitest tests for code examples in JavaScript concept documentation pages, following project conventions and referencing source lines
Use when writing tests, creating test strategies, or building automation frameworks. Invoke for unit tests, integration tests, E2E, coverage analysis, performance testing, security testing.
Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.
Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source projects.
Creates smooth animations and micro-interactions using Framer Motion including page transitions, gestures, scroll-based animations, and orchestrated sequences. Use when users request "add animation", "framer motion", "page transition", "animate component", or "micro-interactions".
Use when the user mentions staking HAEDAL, locking, extending lock, claiming rewards, decay, or operating VeHaedal on Haedal Protocol (a DeFi ecosystem on SUI). Trigger phrases: "stake haedal", "lock haedal", "extend lock", "claim rewards from haedal", "unlock/redeem haedal", "add to stake", "start decay", "stop decay", "vehaedal". This skill calls https://skillsapi.haedal.xyz/api/v1/vehaedal/* via curl POST. add_stake and claim_rewards* need only signerAddress (+ amount/periods); add_to_existing_stake, extend_existing_lock, start_decay, stop_decay, unstake_and_claim require vehaedalObj — fetch via get_vehaedal_list(address), present the list with current_amount/locked_amount/is_decaying/lock_end_time to the user, then use their chosen objectId. All amounts are human-readable. On HTTP 200 returns txBytes (base64); on non‑200 returns msg.
Source-backed research orchestrator for the Fusion ecosystem. Routes to the correct research agent based on question type. Returns source-backed evidence only; will not invent Framework behavior, component APIs, or skill catalog relationships. USE FOR: any research question needing source-backed evidence about Fusion Framework APIs, EDS components, or the Fusion skill catalog. DO NOT USE FOR: implementing code changes, installing or editing skills, MCP setup or troubleshooting, or inventing Fusion behavior without evidence.
Agent skill for planner - invoke with $agent-planner
Non-interactive hunk and line-range staging with the `git-hunk` CLI. Use when a user wants atomic commits, selective staging, partial hunk staging, or an agent-safe replacement for `git add -p` or `git commit -p`, especially when `git-hunk` is available in the current repo or on `PATH`.
Skill Map Viewer. Scans all installed skills and renders a visual overview — you can check the name, version, description, and category at a glance. This tool is triggered when the user says 'skills', '技能', '技能地图', 'skill map', '我有哪些技能', '看看技能', '列出技能', 'list skills'. It also activates when the user asks about available or installed skills.
Cognitive Atom: Plain (Bai). Rewrites any content to be fully understandable by a smart 12-year-old. It is structure-free — form follows content. Activate this function when the user uses phrases like "put it in plain language", "speak human", "explain this", "plain", or "grok".
Visualize whether skills, rules, and agent definitions are actually followed — auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines