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Found 1,079 Skills
Bidirectional conversion between Markdown and Feishu (Lark) documents using md2fs and fs2md CLI tools. Use this skill whenever the user mentions Feishu, Lark, 飞书, feishu.cn URLs, md2fs, fs2md, md-lark-converter, pasting documents to Feishu, exporting from Feishu, converting to/from Feishu format, syncing content with Feishu, setting up Feishu cookies, or any workflow involving Markdown and Feishu documents — even if they don't explicitly say 'convert'. Also trigger when the user shares a feishu.cn or lark link.
OpenTelemetry Transformation Language (OTTL) expert. Use when writing or debugging OTTL expressions for any OpenTelemetry Collector component that supports OTTL (processors, connectors, receivers, exporters). Triggers on tasks involving telemetry transformation, filtering, attribute manipulation, data redaction, sampling policies, routing, or Collector configuration. Covers syntax, contexts, functions, error handling, and performance.
Knip finds unused files, dependencies, exports, and types in JavaScript/TypeScript projects. Plugin system for frameworks (React, Next.js, Vite), test runners (Vitest, Jest), and build tools. Use when cleaning up codebases, optimizing bundle size, or enforcing strict dependency hygiene in CI.
Run an offline ASO audit on pulled App Store metadata and surface keyword gaps using Astro MCP. Use after pulling metadata with asc migrate export or asc localizations download.
Review code after implementation work to identify design flaws, abstraction issues, or maintenance risks that only became clear once real code was written. Use whenever the user asks whether a recent change exposed architectural problems, whether an abstraction is fighting the implementation, or whether a refactor is justified. Be conservative and avoid suggesting refactors without concrete evidence of recurring cost or complexity.
Find dead code using parallel subagent analysis and optional CLI tools, treating code only referenced from tests as dead. Use when the user asks to "find dead code", "find unused code", "find unused exports", "find unreferenced functions", "clean up dead code", or "what code is unused". Analysis-only — does not modify or delete code.
App Store screenshot generation skill with two workflows: (A) AI-powered: fetches app metadata via `asc` CLI, analyzes screenshots with Claude vision, writes a ScreenPlan JSON, then generates final marketing screenshots via Gemini (`asc app-shots generate`), and optionally translates them (`asc app-shots translate`). (B) HTML-based (deterministic): writes a CompositionPlan JSON with precise device placement, text overlays, and backgrounds, then runs `asc app-shots html` to produce a self-contained HTML page with real device mockup frames and client-side PNG export — no AI needed. Use this skill when: (1) User asks to "create App Store screenshots" or "generate screenshot plan" (2) User asks to "make an HTML screenshot page" or "compose screenshots with mockups" (3) User mentions "asc-app-shots", "app-shots html", "composition plan", or screenshot marketing (4) User wants deterministic, reproducible screenshot layouts with device mockups (5) User wants AI-generated screenshots via Gemini
Generate publication-ready scientific figures in Python/matplotlib with a consistent figures4papers house style. Use when creating or refining academic bar/trend/heatmap/scatter/multi-panel figures, enforcing visual consistency, or exporting paper-ready PNG/PDF/SVG outputs.
This skill should be used when the user asks to "build an MCP server", "create an MCP tool", "expose resources with MCP", "write an MCP client", or needs guidance on the Model Context Protocol Python SDK best practices, transports, server primitives, or LLM context integration.
Generates importable n8n workflow JSON files that sync data between Personize and 400+ apps. Produces ready-to-import workflows for batch sync, webhook ingestion, per-record AI enrichment, and data export — no code required. Use this skill whenever the user wants no-code integrations, visual workflows, n8n automation, or to connect Personize to HubSpot, Salesforce, Google Sheets, Slack, Postgres, or any app without writing code. Also trigger when they mention 'workflow automation', 'scheduled sync without code', 'visual pipeline', or 'connect Personize to [app]' and don't want to write TypeScript.
Answer questions using the Tenzir documentation. Use whenever the user asks about TQL syntax, pipeline operators, functions, data parsing or transformation, normalization, OCSF mapping, enrichment, lookup tables, contexts, packages, nodes, platform setup, deployment, configuration, integrations with tools like Splunk, Kafka, S3, Elasticsearch, or any other Tenzir feature. Also use when the user asks how to collect, route, filter, aggregate, or export security data with Tenzir, or needs help writing or debugging TQL pipelines, even if they don't mention 'Tenzir' explicitly but are clearly working in a Tenzir context.
Use this skill whenever you need to inspect Papermark datarooms via the agent-first `papermark` CLI. Triggers include listing datarooms, inspecting one dataroom, reading folder structures, checking links, groups, permission groups, viewers, views, stats, or export-visits jobs.