Claw Compactor — 6-layer token compression skill for OpenClaw agents. Cuts workspace token spend by 50–97% using deterministic rule-engines plus
Activate when code touches token management, credential resolution, git auth flows, GITHUB_APM_PAT, ADO_APM_PAT, AuthResolver, HostInfo, AuthContext, or any remote host authentication — even if 'auth' isn't mentioned explicitly. --- # Auth Skill [Auth expert persona](../../agents/auth-expert.agent.md) ## When to activate - Any change to `src/apm_cli/core/auth.py` or `src/apm_cli/core/token_manager.py` - Code that reads `GITHUB_APM_PAT`, `GITHUB_TOKEN`, `GH_TOKEN`, `ADO_APM_PAT` - Code using `git ls-remote`, `git clone`, or GitHub/ADO API calls - Error messages mentioning tokens, authentication, or credentials - Changes to `github_downloader.py` auth paths - Per-host or per-org token resolution logic ## Key rule All auth flows MUST go through `AuthResolver`. No direct `os.getenv()` for token variables in application code.
Interact with Bitget Wallet API for crypto market data, token info, swap quotes, RWA (real-world asset) stock trading, and security audits. Use when the user asks about wallet, token prices, market data, swap/trading quotes, RWA stock discovery and trading, token security checks, K-line charts, or token rankings on supported chains (ETH, SOL, BSC, Base, etc.).
Run vLLM performance benchmark using synthetic random data to measure throughput, TTFT (Time to First Token), TPOT (Time per Output Token), and other key performance metrics. Use when the user wants to quickly test vLLM serving performance without downloading external datasets.
Trust Wallet API for crypto data — token search, prices, trending tokens, swap quotes, market data, security checks, address validation, asset info, and coin status across 100+ blockchains. Use whenever the user asks about crypto prices, token info, swap rates, market cap, trending coins, token risk, honeypot detection, address validation, or wants to call the Trust Wallet / tws.trustwallet.com API directly. Covers HMAC-SHA256 authentication, supported chains, and all REST endpoints.
Use when AWS CLI commands fail with SSO token expiration errors like "Token has expired", "SSO session has expired", or "Error when retrieving credentials".
Metaplex development on Solana — NFTs, tokens, compressed NFTs, candy machines, token launches, autonomous agents. Use when working with Token Metadata, Core, Bubblegum, Candy Machine, Genesis, Agent Registry, or the mplx CLI.
Token allocation and vesting schedule builder. Walks founders through allocation design, vesting schedules, and generates a professional Excel token release schedule with supply/demand simulation chart. Use when a founder says "tokenomics", "allocation", "vesting schedule", "token release", "how do I structure my token supply", or after /why-token.
Manage multiple OpenAI Codex accounts. Capture current login tokens, switch between them, and auto-select the best account based on quota budget scoring. Syncs all tokens to OpenClaw agent auth-profiles using email-based keys. ⚠️ Reads and writes ~/.codex/auth.json, ~/.codex/accounts/*.json, and ~/.openclaw/agents/*/agent/auth-profiles.json (sensitive authentication tokens).
Deploy and manage compliant tokens on 10 blockchain networks via Bitbond TokenTool MCP (17 tools). Use when user asks to deploy a token, create an ERC-20, issue a security token, tokenize an asset, mint tokens, burn tokens, pause token transfers, create an SPL token on Solana, issue a Stellar asset, estimate deployment cost, check token info, list deployed tokens, set up whitelist or blacklist compliance, manage whitelist/blacklist addresses, check compliance status, or manage token lifecycle. Supports EVM chains, Solana, and Stellar with CertiK-audited contracts.
skill-sample/ ├─ SKILL.md ⭐ Required: skill entry doc (purpose / usage / examples / deps) ├─ manifest.sample.json ⭐ Recommended: machine-readable metadata (index / validation / autofill) ├─ LICENSE.sample ⭐ Recommended: license & scope (open source / restriction / commercial) ├─ scripts/ │ └─ example-run.py ✅ Runnable example script for quick verification ├─ assets/ │ ├─ example-formatting-guide.md 🧩 Output conventions: layout / structure / style │ └─ example-template.tex 🧩 Templates: quickly generate standardized output └─ references/ 🧩 Knowledge base: methods / guides / best practices ├─ example-ref-structure.md 🧩 Structure reference ├─ example-ref-analysis.md 🧩 Analysis reference └─ example-ref-visuals.md 🧩 Visual reference
More Agent Skills specs Anthropic docs: https://agentskills.io/home
├─ ⭐ Required: YAML Frontmatter (must be at top) │ ├─ ⭐ name : unique skill name, follow naming convention │ └─ ⭐ description : include trigger keywords for matching │ ├─ ✅ Optional: Frontmatter extension fields │ ├─ ✅ license : license identifier │ ├─ ✅ compatibility : runtime constraints when needed │ ├─ ✅ metadata : key-value fields (author/version/source_url...) │ └─ 🧩 allowed-tools : tool whitelist (experimental) │ └─ ✅ Recommended: Markdown body (progressive disclosure) ├─ ✅ Overview / Purpose ├─ ✅ When to use ├─ ✅ Step-by-step ├─ ✅ Inputs / Outputs ├─ ✅ Examples ├─ 🧩 Files & References ├─ 🧩 Edge cases ├─ 🧩 Troubleshooting └─ 🧩 Safety notes
Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.
We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.
Quick Start:
Import/download skills (.zip/.skill), then place locally:
~/.claude/skills/ (Claude Code)
~/.codex/skills/ (Codex CLI)
One SKILL.md can be reused across tools.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.
Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.
Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.
This keeps agents lightweight while preserving enough context for complex tasks.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused across tools.
Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.
Example: retrieval + writing + automation scripts as one workflow.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills:
