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Found 257 Skills
Triage, redact, clean up, and resolve OpenClaw GitHub Secret Scanning alerts in issues or PRs.
Terraform infrastructure-as-code agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Covers module design patterns, state management strategies, provider configuration, security hardening, policy-as-code with Sentinel/OPA, and CI/CD plan/apply workflows. Use when: user wants to design Terraform modules, manage state backends, review Terraform security, implement multi-region deployments, or follow IaC best practices.
Lift a proven skill from a host repo (e.g. your OpenClaw fork) back into gbrain's bundle so other clients can scaffold it. Editorial workflow: the CLI does the file copy + privacy lint; this skill drives the judgment-heavy genericization (scrub real names, generalize triggers, lift fork-specific conventions to references).
Runtime security monitor for active OpenClaw skills. Watches file access, network calls, and shell commands. Flags anomalous behavior and enforces permission boundaries.
GitHub backup for OpenClaw workspace. Use when user says "同步", "备份", "backup", "sync", "push to github", or asks about backup status/history/failures. Manages git-based full backup of ~/.openclaw to GitHub.
Production-ready financial analyst skill with ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction. 4 Python tools (all stdlib-only). Works with Claude Code, Codex CLI, and OpenClaw.
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.
NetEase Cloud Music Intelligent Assistant, with model judgment at its core, executes operations via ncm-cli. Core capabilities: Analyze user's liked songs playlist preference profile, develop multi-keyword search strategies, intelligently recommend playlists/albums/singles (including two-layer recommendation explanations), playback control (play/pause/next track/volume/queue), manage scheduled push tasks, push recommendation results to IM channels like Feishu via OpenClaw, create and add to playlists. Trigger conditions (activate if any is met): - Messages contain "NetEase Cloud" or "Cloud Music" - User wants to listen to music, needs playlist recommendations, or looks for certain types of music - User wants to analyze their music preferences or liked song records
Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for execution, supports continuous agent operation via Claude Code /loop and OpenClaw heartbeat, and produces research presentations and papers. Use when starting a research project, running autonomous experiments, or managing a multi-hypothesis research effort.
Use for all ClawSweeper work: OpenClaw issue/PR sweep reports, commit-review reports, repair jobs, cloud fix PRs, @clawsweeper maintainer mention commands, trusted ClawSweeper-reviewed autofix/automerge, GitHub Actions monitoring, permissions, gates, and manual backfills.
Connects NemoClaw to a local inference server. Use when setting up Ollama, vLLM, TensorRT-LLM, NIM, or any OpenAI-compatible local model server with NemoClaw. Trigger keywords - nemoclaw local inference, ollama nemoclaw, vllm nemoclaw, local model server, openai compatible endpoint, switch nemoclaw inference model, change inference runtime, nemoclaw additional model, nemoclaw sub-agent model, openclaw sub-agent, agents.list, sessions_spawn, vlm-demo, nemoclaw tool calling, ollama tool calls, vllm tool-call-parser, raw json in tui, nemoclaw inference options, nemoclaw onboarding providers, nemoclaw inference routing.
HOWL v2 — Hunt, Optimize, Win, Learn. Nightly self-improvement loop for the WOLF autonomous trading strategy. Runs once per day (via cron) to review all trades from the last 24 hours, compute win rates, analyze signal quality correlation, evaluate DSL tier performance, identify missed opportunities, and produce concrete improvement suggestions for the wolf-strategy skill. v2 adds fee drag ratio (FDR) analysis, holding period bucketing, LONG vs SHORT regime detection, rotation cost tracking, cumulative drift detection, and gross vs net profit factor separation. Use when setting up daily trade review automation, analyzing trading performance, or improving an autonomous trading strategy through data-driven feedback loops. Requires Senpi MCP connection, mcporter CLI, and OpenClaw cron system.