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1.564 skills encontradas
transcript-cleanup
Cleans and formats a raw auto-generated podcast transcript for publication on a website or show page — removing filler words and transcription errors, adding speaker labels, formatting for readability, and preserving the authentic voice of host and guests.
ai
WHAT: Turborepo monorepo build system - caching, task pipelines, and parallel execution for JS/TS projects. WHEN: User configures turbo.json, creates packages, sets up monorepo, shares code between apps, runs --affected builds, debugs cache misses, or has apps/packages directories. KEYWORDS: turborepo, turbo.json, monorepo, dependsOn, task pipeline, caching, remote cache, --filter, --affected, pac
text-condenser
Cuts an article or passage to a target word count by removing redundancies, tightening prose, and eliminating low-value sentences — while preserving the piece's key information, structure, and voice.
Read Reddit content via Composio MCP. Actions: search posts, view hot/top/new posts, read post content, read comments. Keywords: reddit, subreddit, post, comment, search reddit, hot posts, top posts.
transcript-qa-formatter
Cleans a raw interview transcript into a polished Q&A — removing filler words, fixing speaker labels, standardising punctuation, and optionally inserting timestamps — ready to publish or hand to a copy editor.
midea-recall-diagnose
用于排查 sit/uat/prod 环境下 `/rag-recall/api/search/keyword` 未召回目标 doc/faq 的问题。支持两种输入:1) 完整请求(headers+body;若 `headers.appId` 缺失但 `body.appId` 存在,可回填);2) requestId+targetId。统一走“回放 -> ELK -> ES -> 代码最小核对”,禁止 broad search 和冲突口径。
ai
WHAT: Kubernetes manifest generation - Deployments, StatefulSets, CronJobs, Services, Ingresses, ConfigMaps, Secrets, and PVCs with production-grade security and health checks. WHEN: User needs to create K8s manifests, deploy containers, configure Services/Ingress, manage ConfigMaps/Secrets, set up persistent storage, or organize multi-environment configs. KEYWORDS: kubernetes, k8s, manifest, depl
version-diff-summariser
Takes two versions of the same text — a before and an after — and produces a plain-English summary of every meaningful change: what was added, cut, reworded, restructured, and why each change is likely to matter editorially.
ai
WHAT: Production-ready Node.js backend patterns - Express/Fastify setup, layered architecture, middleware, error handling, validation, database integration, authentication, and caching. WHEN: User is building REST APIs, setting up Node.js servers, implementing authentication, integrating databases, adding validation/caching, or structuring backend applications. KEYWORDS: nodejs, node, express, fas
word-count-reducer
Reduce a piece of text to a specified word count or percentage reduction while preserving all essential meaning, key facts, and the author's voice — cutting filler, redundancy, and unnecessary qualifiers rather than removing substantive content.
write-literature-review
Iterative literature-review workflow for a research topic. Use this skill to draft up to 10 search keywords, build a seed set from OpenAlex title-and-abstract matches, expand by backward and forward citations, screen candidates by title and abstract, repeat until no new relevant papers remain, rank the final set, inspect up to 30 full texts, build a concept-reference knowledge graph, and write a l
midea-recall-diagnose
用于排查 sit/uat/prod 环境下 `/rag-recall/api/search/keyword` 未召回目标 doc/faq 的问题。支持两种输入:1) 完整请求(headers+body;若 `headers.appId` 缺失但 `body.appId` 存在,可回填);2) requestId+targetId。统一走“回放 -> ELK -> ES -> 代码最小核对”,禁止 broad search 和冲突口径。