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Found 44 Skills
Surfaces relevant instincts during work. Use when starting a task to check if any learned behaviors apply.
Archive completed plans from plans/active/ to plans/completed/, supplement verification results and completion time. Suitable for calling after implementation is finished.
Build, scaffold, and deploy Power Automate cloud flows using the FlowStudio MCP server. Load this skill when asked to: create a flow, build a new flow, deploy a flow definition, scaffold a Power Automate workflow, construct a flow JSON, update an existing flow's actions, patch a flow definition, add actions to a flow, wire up connections, or generate a workflow definition from scratch. Requires a FlowStudio MCP subscription — see https://mcp.flowstudio.app
Shell scripting expert for Bash, POSIX compliance, error handling, and automation
Use when working with WeChat mini-program automation (mini-program automation, automated testing, E2E) via miniprogram-automator, especially for standalone Node scripts or Jest tests involving DevTools launch/connect, page navigation, waitFor, custom-component selectors, wx method mocking, console or exception listeners, screenshots, regression checks, or troubleshooting launch failures, connection timeouts, and element-not-found issues.
Fetches 36Kr 24-hour hot list articles via GET request. The data is organized by date with URL pattern https://openclaw.36krcdn.com/media/hotlist/{date}/24h_hot_list.json and updated hourly. This tool applies when the user asks about 36Kr hot articles, hot list, 36Kr Hot List, popular articles, Today's Hot List, top articles, hot news, Tech Hot List, Startup Hot List, Today's Hottest, check hot list, view hot list, trending articles, hot articles, 36Kr trending, top articles, popular articles, OpenClaw hotlist, or wants to query/display the 24-hour hot list from 36Kr.
Auto-extract GTME metrics from work sessions. Lines shipped, bugs fixed, PRs merged, cost per feature. Weekly digests and executive summaries. Use when: capture metrics, portfolio report, what did I ship, weekly summary.
Enables agents to register, manage, and execute scheduled tasks using OS native scheduler (crontab for Linux/WSL, launchd for macOS). No git, no dangerous flags, no session dependency. Tasks run headless, output to log files, user reads when ready. Use this skill when: - User wants to schedule recurring tasks with natural language - User mentions "every day at", "cada hora", "schedule", "programar", "automatizar" - User needs tasks to run without open session (headless) - User wants OS-level scheduling (crontab/launchd) - User mentions "cada minuto durante la próxima hora" or temporal intervals ACTIVATE when user mentions: "schedule", "programar", "cron", "cada día", "every hour", "automate", "tarea programada", "ejecutar automáticamente", "recordatorio", "cada minuto durante", "durante la próxima", "intervalo", "task scheduler", "opencode headless", "kiro scheduled", "background task", "tarea en segundo plano" DO NOT USE for: git operations, dangerous permissions, MCP sampling dependency.
Use when user input contains xlb topic queries (for example "xlb >vibe coding/vib", "xlb ??vibe coding", or "查询xlb vibe coding主题") and the task is to fetch Markdown index from local getPluginInfo API, then perform code-based retrieval with routing to available network skills/MCP tools when possible.
Transcribe audio and video files using the Deepgram API. This skill should be used when the user requests transcription of audio files (mp3, wav, m4a, aac) or video files (mp4, mov, avi, etc.). Handles large video files by extracting audio first to reduce upload size and processing time.
Dispatch, reconcile, and upsert group webhook pushes after tasks reach terminal states. Use to trigger by TaskID/GroupID, run one-shot backfill by date for pending/failed, and write webhook plans into WEBHOOK_BITABLE_URL (JSON/JSONL).
Build per-chapter (H2) writing briefs (NO PROSE) so the final survey reads like a paper (chapter leads + cross-H3 coherence) without inflating the ToC. **Trigger**: chapter briefs, H2 briefs, chapter lead plan, section intent, 章节意图, 章节导读, H2 卡片. **Use when**: `outline/outline.yml` + `outline/subsection_briefs.jsonl` exist and you want thicker chapters (fewer headings, more logic). **Skip if**: the outline is still changing heavily (fix outline/mapping first). **Network**: none. **Guardrail**: NO PROSE; do not invent papers; only reference subsection ids and already-mapped papers.