OpenClaw Master Skills is a curated, regularly updated collection of skills that extends an AI personal assistant platform with capabilities such as research, browser automation, presentation creation, and prompt work. It is intended for people using OpenClaw or MyClaw.ai to give their agents additional tasks and workflows. The catalogue contains many skills and agents from this collection.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add LeoYeAI/openclaw-master-skills --skill adaptive-learning-playbookgit clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/leoyeai/openclaw-master-skills/adaptive-learning-playbook)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/adaptive-learning-playbook"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/adaptive-learning-playbook/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/adaptive-learning-playbook"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/adaptive-learning-playbook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00171 | $0.03627 |
| Opus 5 | $0.00086 | $0.01813 |
| Sonnet 5 | $0.00034 | $0.00725 |
| Haiku 4.5 | $0.00017 | $0.00363 |
Grade A, and why
adaptive-learning-playbook scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 319 lines — stays where its author put it; the contents beside it link to each section on GitHub.
World-Class Adaptability & Learning Playbook
You are operating as a world-class strategic advisor on organisational adaptability. Every piece of advice must meet the standard of elite startup and enterprise strategy — grounded in research, practically actionable, and calibrated for resource-constrained, multi-jurisdictional technology companies. No generic consulting platitudes. No theory without application.
Core Philosophy
CONTINUOUS ADAPTATION > RESILIENCE > AGILITY
Resilience survives disruption. Agility responds to it.
Continuous adaptation creates the future rather than preparing for it.
Seven interlocking capabilities. One operating system. Daily compounding.
1. The Adaptability Capability Stack (Priority Order)
| # | Capability | Core Question |
|---|---|---|
| 1 | Market Trend Awareness | What is changing and what does it mean for us? |
| 2 | Organisational Agility | How fast can we sense change and reorganise? |
| 3 | Continuous Improvement (Kaizen) | Are we measurably better every single day? |
| 4 | Experimentation Culture | Do we test assumptions before committing resources? |
| 5 | Knowledge Management | Can the right person access the right knowledge at the right time? |
| 6 | Competitive Intelligence | Do we understand the landscape well enough to act, not just observe? |
| 7 | Pivoting Ability | Can we redirect strategy without losing momentum or identity? |
2. Market Trend Awareness
Signal Categories
| Signal Type | Confidence | Lead Time | Examples |
|---|---|---|---|
| Strong | High | Low | Published regulations, competitor launches, central bank decisions |
| Emerging | Medium | Medium | Patent filings, VC funding patterns, draft legislation, academic breakthroughs |
| Weak | Low | High | Social sentiment shifts, niche community discussions, adjacent-industry innovations |
Collection Architecture
- Regulatory Radar: Monitor FCA, Bank of Zambia, Estonian EFSA, EU Digital Finance Package
- Technology Watch: GitHub trending, Hacker News, ArXiv, ProductHunt — focus AI/ML, blockchain, embedded finance, real-time payments
- Customer Signals: NPS trends, support ticket themes, feature requests, churn reasons, social listening
- Macro Indicators: Currency volatility, inflation, mobile money adoption, smartphone penetration by market
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 319 lines · 171 tokens per session scan A 103f9a57e7d8
adaptive-learning-playbook is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,139 stars, last pushed 1mo ago), licensed MIT. It adds 171 tokens to every session and 3,627 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
comfyui-skill-openclaw
Run registered ComfyUI workflows through the fast comfyui-skill CLI, and use the official local Comfy MCP for live template, node, model, validation, and orchestration capabilities. Use this Skill when: (1) The user requests to "generate an image", "draw a picture", or "execute a ComfyUI workflow". (2) The user has…
openclaw-auto-dream
Cognitive memory architecture for OpenClaw agents — periodic dream cycles that consolidate daily logs into structured long-term memory with importance scoring, insights, and push notifications. Use when: user asks for 'auto memory', 'dream', 'auto-dream', 'memory consolidation', 'memory dashboard'. Powered by…
openclaw-ultra-scraping
Powerful web scraping, crawling, and data extraction with stealth anti-bot bypass. Bypasses anti-bot systems (Cloudflare Turnstile, CAPTCHAs) out of the box. Use when: (1) scraping websites that block normal requests, (2) extracting structured data from web pages, (3) crawling multiple pages with concurrency, (4)…
myclaw-backup
Backup and restore all OpenClaw configuration, agent memory, skills, and workspace data. Part of the MyClaw.ai (https://myclaw.ai) open skills ecosystem — the AI personal assistant platform that gives every user a full server with complete code control. Use when the user wants to create a snapshot of their OpenClaw…
agentsec
Audit AI agent skills for security vulnerabilities. Use when scanning installed skills against the OWASP Agentic Skills Top 10, checking skills before running them, gating CI/CD on skill safety, or generating audit reports (text, JSON, SARIF, HTML) for stakeholders.
create-teammate
Distill a teammate into an AI Skill. Auto-collect Slack/Teams/GitHub data, generate Work Skill + 5-layer Persona, with continuous evolution. Use when: user wants to capture a colleague's knowledge before they leave, create an AI version of a teammate, distill tribal knowledge into a reusable skill, or says…