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Found 6,261 Skills
Use when implementing features, writing fullstack code, shipping UI + API + DB changes, or any hands-on engineering work in TypeScript, Python, React, Next.js, FastAPI, or SQL
Interact with the learning system: show stats, list/search accumulated knowledge, and graduate mature entries into agents/skills. Backed by learning.db (SQLite + FTS5). Use when user says "retro", "retro list", "retro search", "retro graduate", "check knowledge", "what have we learned", "knowledge health", "graduate knowledge".
Analyze an unfamiliar repository and explain what it does, how it runs, what architectural choices define it, where the important code lives, and what deserves deeper inspection next. Use this whenever a user has just cloned a repo, wants onboarding help, asks for a repo walkthrough, or needs a reliable first-pass architecture analysis.
Use this skill whenever the user wants to set up, configure, or refactor TypeORM within a NestJS TypeScript project, including data sources, entities, migrations, repositories, relations, and transactional patterns.
Watch a bug video, screen recording, or screenshot, understand what's broken, find the relevant code, implement a fix, and raise a PR. Supports Loom, YouTube, and local files. Uses Gemini Flash for video understanding.
Manage the full lifecycle of Alibaba Cloud managed Milvus instances—creation, scaling, configuration management, network management, and status queries. Use this Skill when users want to create a Milvus instance, view instance status, get connection addresses, scale/change configuration, modify settings, enable/disable public network access, set whitelists, release instances, or troubleshoot creation failures. Also applicable when users say "create a Milvus instance", "view instance details", "what's the connection address", "help me check the instance", "scale CU", "change config", "enable public network", "delete instance", etc.
Realm integration. Manage data, records, and automate workflows. Use when the user wants to interact with Realm data.
HelpDocs integration. Manage data, records, and automate workflows. Use when the user wants to interact with HelpDocs data.
Archive existing wiki knowledge and rebuild from scratch, or restore from a previous archive. Use this skill when the user wants to start fresh, rebuild the wiki from all sources, archive current knowledge before a major change, or restore an older version. Triggers on "rebuild the wiki", "start over", "archive and rebuild", "restore from archive", "nuke and repave", "clean rebuild". Also use when the wiki has drifted too far from sources and incremental fixes won't cut it.
Decomposes complex, multi-day tasks into optimized milestones using parallel reviewer agents (ultraplan). Spawns 5 independent reviewers that analyze the problem from different angles, then synthesizes their findings into a milestone dependency DAG. Triggers when the user says "plan milestones", "break this into milestones", "ultraplan", or when long-run harness needs milestone generation.
Enrich brain pages with tiered enrichment protocol. Creates and updates person/company pages with compiled truth, timeline, and cross-links. Use when a new entity is mentioned or an existing page needs updating.
Conduct a targeted code exploration of the repository, and document the process of "Ask Questions → Read Code → Draw Conclusions" as searchable evidence for direct reuse when similar questions arise next time. There are three types: question (investigate code around a specific question and provide conclusions), module-overview (sort out the structure, boundaries, entry points, and dependencies of a module), and spike (conduct lightweight technical exploration of multiple possible directions without making final decisions). Trigger scenarios: Users say "Let's explore first", "How is X implemented in this repository", "Quickly get familiar with this module", "Archive the exploration results". Refer to `codestable/reference/system-overview.md` for how to distinguish it from learning / tricks / decisions.