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Diagnose OpenClaw agent failures, cost spikes, and performance issues with 14 pattern detectors. Use when: task failed unexpectedly, costs seem high, agent burned tokens, debugging session problems, want a health check, reviewing agent performance, agent forgot context, agent kept retrying, agent said commands but didn't execute them, cron jobs getting expensive, heartbeat costs too high, agent drifted off task after compaction, agent stuck reading without editing, agent running find/grep on entire filesystem, agent re-reading same file repeatedly.

Dramatically reduce per-session token usage by loading skills and context files only when needed — not at session start. Includes the SKILLS catalog pattern, AGENTS.md lazy loading strategy, and a Python helper that recommends exactly which files to load for any given task. Compatible with all OpenClaw agents. Works alongside Token Optimizer.

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.

Local voice I/O for OpenClaw agents. Transcribe inbound audio/voice messages using local Whisper (whisper.cpp) and generate voice replies using local Piper TTS. Requires whisper, piper, and ffmpeg pre-installed on the system. All inference runs on-device — no network calls, no cloud APIs, no API keys. Use when an agent receives a voice/audio message and should respond in both voice and text, or when any text response should be synthesized and sent as audio. Triggers on: voice messages, audio attachments, respond in voice, send as audio, speak this, voiceclaw.

Publish content directly to WordPress sites via REST API with full Gutenberg block support. Create and publish posts/pages, auto-load and select categories from website, generate SEO-optimized tags, preview articles before publishing, and generate Gutenberg blocks for tables, images, lists, and rich formatting. Use when user wants to publish to WordPress, post to blog, create WordPress article, update WordPress post, or convert markdown to Gutenberg blocks.

Generate AI videos using ByteDance Seedance. Use when the user wants to: (1) generate videos from text prompts, (2) generate videos from images (first frame, first+last frame, reference images), or (3) query/manage video generation tasks. Supports Seedance 1.5 Pro (with audio), 1.0 Pro, 1.0 Pro Fast, and 1.0 Lite models.

react-best-practices

Build, harden, and scale elite Discord servers with a practical admin playbook: security baseline, role/permission architecture, onboarding, moderation ops, engagement systems, and analytics-driven iteration. Use when designing a new server, auditing an existing one, fixing chaos, or preparing for growth.

Scan, harden, sign, and verify release artifacts with ReleaseGuard — the artifact policy engine for dist/ and release/ outputs.

Playbook for authoring, running, evaluating, and improving Gina sandbox workflows with safe defaults and repeatable operations.

**Build an agent that gets more organized over time instead of more chaotic.**

[Aibrary] Access Aibrary's curated list of 100 must-read books for the AI age, organized by category. Use when the user asks about essential books, wants the Aibrary 100 list, asks for must-read books for the AI era, or wants curated book recommendations across critical thinking, creativity, systems thinking, and action. Trigger on phrases like 'aibrary 100', 'must-read books', 'essential reading list', or 'best books for the AI age'.

Context window health monitoring for OpenClaw agents — threshold warnings via Telegram, pre-compaction snapshots, and memory rotation.

Local-only skill for converting horizontal Chinese fonts into high-quality vertical-reading TTF fonts with a preview-first workflow, grouped glyph rules, and local audit/test artifacts. Use when the user asks to make a 竖版字体 / 竖排 TTF, fix vertical punctuation, quotes, ellipsis, Latin, or digits, generate test images, or explicitly asks for Vertical Font Conversion.

Generate tech news digests with unified source model, quality scoring, and multi-format output. Six-source data collection from RSS feeds, Twitter/X KOLs, GitHub releases, GitHub Trending, Reddit, and web search. Pipeline-based scripts with retry mechanisms and deduplication. Supports Discord, email, and markdown templates.

botlearn-healthcheck — BotLearn autonomous health inspector for OpenClaw instances across 5 domains (hardware, config, security, skills, autonomy); triggers on system check, health report, diagnostics, or scheduled heartbeat inspection.

The default web content reader for OpenClaw. Reads X (Twitter), Reddit, YouTube, and any webpage into clean Markdown — zero API keys required. Use when you need to ingest social media posts, articles, or video transcripts into agent memory.

Find, book, and change flights for your human via email. One message, and done. (by BonBook)

End-user guide for running and configuring the `translate` CLI across text/stdin/file/glob inputs, provider selection, presets, custom prompt templates, and TOML settings. Use when users ask for command construction, config updates (`translate config`/`translate presets`), provider setup, dry-run validation, or troubleshooting translation behavior.

Delegate coding tasks to Claude Code CLI via background process. Use when: building features, reviewing PRs, refactoring codebases, or iterative coding that needs file exploration. Supports interactive PTY mode for confirmations/permissions and headless pipe mode for automation. NOT for: simple one-liner fixes (just edit), reading code (use read tool), or any work in ~/.openclaw/ workspace.

Reference reusable patterns for validation, error handling, and test scaffolding

Evaluate and improve Claude skill quality through auditing

Design pipes-and-filters for sequential data transformations

architecture-diagram

class-diagram

data-flow

dependency-graph

workflow-diagram

cpu-gpu-performance

feature-review

review-core

pytest-config

Cross-plugin testing quality metrics, coverage thresholds, and anti-patterns

knowledge-intake

Capture and retrieve PR review knowledge in project memory palaces

Build session-scoped temporary knowledge structures for multi-step projects

python-testing

unified-review

git-workspace-review

pr-prep

Scope-focused PR review with requirements validation and backlog triage

test-updates

Retrospective evaluation and improvement of skills, agents, commands, and hooks

Generate or remediate documentation with human-quality writing and style

Detect and flag AI-generated content markers in documentation and prose

speckit-orchestrator

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.