[Aibrary] Create a structured personal growth plan with book recommendations, milestones, and actionable weekly tasks. Use when the user wants to create a learning plan, build a study schedule, develop a skill systematically, plan their personal or professional development, or set up a growth roadmap. Trigger on phrases like 'create a plan to learn', 'help me grow in', 'I want to develop', or any structured self-improvement intent.
This skill runs a continuous self-improvement loop. The agent learns from mistakes, extracts reusable lessons, and compounds improvements across sessions.
Audits installed skills to report exactly what system resources each one accesses — network, subprocess, file I/O, environment variables, and unsafe operations.
Define security policies for your workspace and audit compliance. Check installed skills against command, network, and data handling rules. Generate audit-ready compliance reports.
Connect to the Zynd AI Network to discover, communicate with, and pay other AI agents. Search for specialized agents by capability, send them tasks with automatic x402 micropayments, and receive responses. Enables multi-agent collaboration across the open agent economy.
Use Playwright to host a browser and call Doubao Web's image generation function. Call this skill when the user requests to draw or generate an image using Doubao. (使用 Playwright 托管浏览器的方式,调用豆包 Web 端生图功能。当用户要求使用豆包画图、生成图片时调用此技能。)
Full project audit — launches 5 parallel AI agents (security, bugs, dead code, architecture, performance) to scan your codebase read-only, then compiles a unified report with health grade (A+ to F) and offers surgical fixes. Language-agnostic. Zero config.
Lead Generation — Find high-intent buyers in live Twitter, Instagram, and Reddit conversations. Auto-researches your product, generates targeted search queries, and discovers people actively looking for solutions you offer. Social selling and prospecting powered by 1.5B+ indexed posts via Xpoz MCP.
Twitter API Alternative — Search 1B+ tweets with natural language queries, boolean filters, and one-click CSV exports (up to 64K rows). Look up profiles, find users by topic, and track conversations. No developer account needed, no complex OAuth setup — 2-minute setup via Xpoz MCP.
Automated invoice follow-up sequences that escalate from friendly to firm. Track unpaid invoices, send timed reminder emails with escalating tone, log payment interactions, and generate AR aging reports. Your agent handles the awkward conversations so you don't have to — preserving cash flow and client relationships while you focus on actual work. Configure invoice tracking, email templates per stage (friendly → firm → final notice), timing rules, and let your agent chase payments 24/7. Use when adding invoices, running payment chases, checking status, or generating accounts receivable reports.
Your agent builds your LinkedIn presence while you sleep. Schedule posts, auto-engage with target accounts, run personalized DM sequences, and never miss an engagement opportunity. Handles connection requests, profile visiting campaigns, post engagement, and follow-up sequences with safety throttling and human-like behavior patterns. Configure your targets, define engagement rules, and let your agent network 24/7. Use when setting up LinkedIn automation, managing posting schedules, running engagement campaigns, or building agent-driven LinkedIn lead generation workflows.
Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.
Autonomous lead generation through agent social networks. Your agent sweeps MoltBook using semantic search while you sleep, finds business-relevant connections, scores them against your signals, qualifies leads via DM conversations, and reports matches with Pursue/Pass decisions. Configure your identity, define what you're hunting for, and let trawl do the networking. Supports multiple signal categories (consulting, sales, recruiting), inbound DM handling, profile-based scoring, and pluggable source adapters for future agent networks. Use when setting up autonomous lead gen, configuring trawl signals, running sweeps, managing leads, or building agent-to-agent business development workflows.
Use GitHub Spec Kit for Spec-Driven Development. Initialize projects, create specifications, and build software using the /speckit.* slash commands. Supports Claude Code, GitHub Copilot, Gemini CLI, and Codebuddy.
Creates new Overstory agents for Overclaw by updating all seven integration points (config, manifest, agent-def, gateway prompt, task_router, generate_agent_context, and regeneration). Supports manual creation and optional analysis from logs, TROUBLESHOOTING.md, mulch, and project tree.
Mulch Self Improver — Let your agents grow 🌱. Captures learnings with Mulch so expertise compounds across sessions. Use when: command/tool fails, user corrects you, missing feature, API fails, knowledge was wrong, or better approach found. Run mulch prime at session start; mulch record before finishing. Benefits: better and more consistent coding, improved experience, less hallucination.
Seamless bidirectional bridge between nanobot (Ollama Mistral orchestrator) and overstory (Claude Code agent swarm). Routes tasks through the OverClaw gateway (port 18800) to overstory for subagent coordination, syncs memory.
Scans OpenClaw logs, config files, chat history, cursor history, behavior, desires, tastes, and drafts to take comprehensive daily and weekly notes with summaries.
Formats SKILL.md (OpenClaw/Cursor skill docs) for optimal display on ClawHub. Produces a consistent structure—Description, Installation, Usage with benefit-focused examples, and Commands—so skill pages are clear and scannable.
Quality audit for merged GitCode PRs: sample by time range or repo list, check compliance (labels, comments, tests, size, etc.), output table. Use when user asks to 抽检/质量检查 已合入的 PR 规范性、多仓库 PR、或 将结果整理成表格. Multi-repo (owner/repo). Python 3.7+ stdlib only.
A high-performance Agent subsystem for complex multi-agent orchestration. It provides a visual workflow canvas (OASIS) to coordinate OpenClaw agents, automated computer use tasks, and real-time monitoring via a dedicated Web UI. Supports Telegram/QQ bot integrations and Cloudflare Tunnel for secure remote access.
Shopify Theme Development Pro - Complete theme development, deployment, and design system management for OpenClaw agents. Use when building Shopify themes, writing Liquid templates, pushing theme changes, deploying to stores, or managing design systems. Triggers on Shopify theme, Liquid templating, theme development, theme deployment, push theme, Shopify design system, Online Store 2.0, theme sections.
Grafana tools for data visualization, monitoring, alerting, security, SRE investigation, and data collection pipeline management via Alloy. Use grafana_query, grafana_query_logs, grafana_query_traces, grafana_create_dashboard, grafana_update_dashboard, grafana_create_alert, grafana_share_dashboard, grafana_annotate, grafana_explore_datasources, grafana_list_metrics, grafana_search, grafana_get_dashboard, grafana_check_alerts, grafana_push_metrics, grafana_explain_metric, grafana_security_check, grafana_investigate, and alloy_pipeline. Trigger when asked about metrics, dashboards, monitoring, alerts, costs, token usage, data visualization, PromQL, Prometheus, LogQL, Loki, log queries, error logs, log search, TraceQL, Tempo, traces, distributed tracing, span search, find slow traces, debug session traces, annotations, deployments, sharing charts, investigating alert notifications, pushing custom data (calendar, git, fitness, finance) to Grafana for visualization, pushing historical data, backfilling metrics, recording past data with timestamps, modifying dashboards, adding panels, removing panels, changing dashboard settings, updating dashboard time range, explain metric, metric trend, what is this metric, how has this changed, is this metric normal, why did my bill spike, cost visibility, security monitoring, security check, security audit, am I being attacked, is my agent compromised, suspicious activity, threat detection, prompt injection detection, set up security alerts, investigate, debug, triage, root cause, what's wrong, why is X broken, anomaly detection, RED method, USE method, alert fatigue, postmortem, incident summary, collect metrics from, monitor my database, monitor my app, scrape endpoint, set up log collection, collect Docker logs, tail log files, collect Kubernetes logs, receive OTLP, set up trace collection, data collection pipeline, Alloy pipeline, pipeline status, pipeline health, node exporter, system metrics, postgres exporter, mysql exporter, redis exporter, syslog, Grafana Alloy.
Render Blender files with agent-controlled procedural parameters for synthetic data generation. Use when generating training data with controlled variations, creating procedural image datasets, or automating Blender renders via natural language. Supports CYCLES (production) and EEVEE (fast testing) render engines.
Maintain a Markdown task dashboard backed by agent-written append-only AI work logs, then sync a daily AI DONE TODAY section plus a weekly usage panel via heartbeat or on-demand refresh. Use when building or operating a reusable task system where: (1) human tasks live in a single NOW.md dashboard, (2) agents automatically append work records after each completed work unit, (3) heartbeat scans logs and refreshes the AI-derived sections, (4) a new workspace or vault needs initialization with templates, paths, and sync state.