66 skills · sorted by relevance
Receive AI-Trader messages and tasks by checking its heartbeat API at regular intervals. Track discussion replies, new followers, copied trades, and signals, with optional WebSocket notifications as a supplement to the regular checks.
Start and manage the full heartbeat ecosystem for agent-studio. Registers all 7 heartbeat loops plus auto-reschedule task via CronCreate to keep the agent ecosystem healthy, indexed, informed, and connected.
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Inspect and manage guarded Codex App-native or launchd heartbeats for Codex main control threads. Use when the user wants Codex to periodically continue a specific thread only when it is idle, avoid interrupting active work, keep App-visible interactions, inspect thread status, or enable/disable project autopilot heartbeats.
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Use this skill when writing analytical SQL over time-series data with the TimescaleDB Toolkit (timescaledb_toolkit extension) hyperfunctions: approximate percentiles, statistical summaries, time-weighted averages, counter/gauge rates, uptime/heartbeat tracking, state durations, OHLC candlesticks, approximate distinct counts, top-N, and downsampling. **Trigger when user asks to:** - Compute percentiles/medians/p95/p99 over large or rolled-up time-series data - Compute rates or deltas from monotonic counters (Prometheus-style) or gauges - Compute time-weighted averages or integrals over irregularly sampled data - Track uptime/downtime from heartbeats, or time spent in each state - Build OHLC/candlestick or VWAP data for financial ticks - Store re-aggregatable summaries in continuous aggregates (two-step aggregation, rollup) - Approximate COUNT DISTINCT, find top-N / most frequent values, or downsample for charts **Keywords:** timescaledb_toolkit, hyperfunctions, percentile_agg, uddsketch, tdigest, approx_percentile, stats_agg, time_weight, counter_agg, gauge_agg, heartbeat_agg, state_agg, candlestick_agg, hyperloglog, approx_count_distinct, min_n, max_n, mcv_agg, lttb, asap_smooth, rollup, two-step aggregation
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Configure periodic health checks via HEARTBEAT.md and the /heartbeat command.
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Schedule recurring tasks and heartbeat monitoring using Claude Code's cron system (CronCreate/CronList/CronDelete). Implements the Agentic Heartbeat Pattern for ecosystem health monitoring.
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Create, implement, or review Paperclip capsule visuals that represent agents and their status. Apply the rules for each visual type, document settings for reproducible assets, and provide static alternatives for animated effects.
Review an agent’s role, communication style, user profile, and boundaries through an interview. It records the user’s exact answers in a shared store, then regenerates the relevant identity files after the user reviews and confirms those answers.
Writes and reviews Lean 4 proofs, machine-checked arguments for mathematics or specifications. Follows Mathlib conventions to organize definitions and lemmas, fill proof gaps, refactor lengthy proofs, and establish automated checks for unproved claims and style.
Establish MAVLink connections between MATLAB and PX4/ArduPilot autopilots. Use when connecting to a drone, flight controller, or autopilot via MAVLink protocol over UDP. Covers dialect setup, UDP transport, timer-based heartbeat, and client discovery. Use when: "connect to PX4", "MAVLink connection", "heartbeat", "ground control station", "GCS", "connect to ArduPilot", "drone communication", "mavlinkio", "SITL".
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Proactive intelligence pulse — scans user's memory files (USER.md, SOUL.md) to identify current interests, investments, projects, and concerns, then performs targeted web searches to find noteworthy updates. Returns a concise briefing if something deserves attention, or `[SKIPPED]` if nothing warrants interruption. Use this skill when the system needs to check if there's anything worth proactively notifying the user about — like a scheduled heartbeat check, a "what's new" sweep, or when the user asks "anything I should know?", "what did I miss?", or "any updates?". Also triggers on requests like "check my interests", "scan for news", "morning briefing", or "pulse check".
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Set recurring checks or completion watches with `sno heartbeat` and its persistent log reader. Use for periodic reports or unattended long runs. Not for calendar scheduling or commands watched directly.
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Use when managing Paperclip AI agent companies - creating tasks, managing agents, approving hires, running heartbeats, or any Paperclip control-plane operations via CLI or REST API. Triggers on "paperclip", "задача агенту", "одобри найм", "heartbeat", "запусти агента".
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Separate expensive observation from cheap decision-making in autonomous agent loops using a two-clock architecture. A fast clock accumulates data into a digest file; a slow clock reads the digest and acts only when something is pending. Idle cycles cost nothing because the action clock returns immediately after reading an empty digest. Use when building autonomous agents that must observe continuously but can only afford to act occasionally, when API or LLM costs dominate and most cycles have nothing to do, when designing cron-based agent architectures with observation and action phases, or when an existing heartbeat loop is too expensive because it calls the LLM on every tick.
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Configures autonomous heartbeat and cron-based proactive routines (e.g., morning briefing setup, unanswered-message scan cadence). Invoke when user is SETTING UP or MODIFYING a proactive routine, not when the routine itself fires. Cron crons execute their own logic — they do NOT load this skill. Triggers: "set up proactive check", "configure heartbeat", "add morning briefing", "tune cron cadence".
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Reduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
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AIエージェントのキャラクター定義ファイルを生成するスキル。ユーザーがキャラクター設定（名前、二つ名、年齢、属性、性格、支配の流儀、口癖、外見、絵文字など）を入力すると、それに基づいてIDENTITY.md、SOUL.md、USER.md、AGENTS.md、TOOLS.md、BOOTSTRAP.md、HEARTBEAT.mdの7つのファイルとavatar.pngを配置したキャラクターディレクトリを作成する。また、agent-identity/README.md にキャラクター情報とアバター画像を追加する。ユーザーが「キャラクターを作って」「新しいキャラクターを追加して」「○○っていうキャラクターのファイル作って」と言った時や、キャラクター設定を詳細に提供した時に使用する。
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Update a live OpenClaw checkout on macOS, then verify its Gateway and local app. Investigate automated check failures, repair them through focused pull requests, and run release validation without publishing a release.
Handle tasks managed by Paperclip by reading their context, saving documents and deliverable files, updating progress and blockers, and coordinating delegated work. The skill provides procedures for short agent runs, approvals, and traceable task updates.
Build a room-specific sensing model by recording an empty room and occupants performing activities, then training small specialized models. The workflow continues into live monitoring of presence, posture, and breathing in the calibrated room.
Analyze captured network traffic and binary messages to recover custom protocol structures. The skill organizes message types, fields, and connection states, then produces reproducible decoding steps with supporting evidence for authorized investigations.
Audit instructions and memory files loaded on every agent turn. Identify repeated rules, contradictions, outdated content, and material better moved into skills, then receive evidence-backed recommendations ranked by estimated token savings and change risk.
Investigate NanoClaw agent failures by tracing messages through logs and session databases. Check container startup, credential access, mounted folders, and service instances to locate where processing or delivery stops and choose a repair.
Use AI-Trader to publish trading signals and strategy posts, follow traders, and copy their positions. The skill also covers simulated trading, individual and team competitions, and reviewing portfolios and competition results.