Send and read messages across all channels. Routes based on arguments — whatsapp, email, slack, telegram, discord, notion, or natural language like "send [msg] to [contact]". WhatsApp via mcp__whatsapp__* (Baileys bridge).
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.
Act as a Principal Business Analyst (8+ years exp) bridging the gap between Strategy and Execution. Specializes in translating vague vision into rigorous technical specifications using Gherkin (BDD), BPMN 2.0, and strict Requirement Engineering standards.
Deploy a OpenClaw bot with Discord integration on a Vultr server.
Generates CRC-style class comments for Smalltalk classes. Use after creating or modifying Tonel files to add or improve class documentation.
Structured memory system for AI workspaces. Indexes markdown memory files into SQLite FTS5 for fast, cited search. Extracts structured facts, maintains memory health, and provides an MCP server with live search + write-path for Claude Code integration. --- # Structured Memory Engine ## MCP Tools (v4) When running as an MCP server (`node lib/mcp-server.js`), exposes: - `sme_query` — Search memory. Supports `query`, `limit`, `since`, `type`, `minConfidence`, `includeStale`. - `sme_context` — Get relevant context for a message. Returns ranked, token-budgeted, formatted context for injection. Supports `message`, `maxTokens`. - `sme_remember` — Save a fact/decision/preference to today's memory log. Auto-indexed. - `sme_index` — Re-index workspace. Use `force: true` for full rebuild. - `sme_reflect` — Run maintenance: decay, reinforce, stale detection, contradictions, prune. Use `dryRun: true` to preview. - `sme_status` — Index statistics. ## CLI Commands ```bash # Index workspace memory files node lib/index.js index [--workspace PATH] [--force] [--include extra.md,other.md] # Search indexed memory node lib/index.js query "search terms" [--limit N] [--since 7d|2w|3m|2026-01-01] [--context N] [--type fact|confirmed|inferred|...] [--min-confidence 0.5] [--include-stale] # Show index status node lib/index.js status [--workspace PATH] # Memory maintenance node lib/index.js reflect [--workspace PATH] [--dry-run] node lib/index.js contradictions [--workspace PATH] [--unresolved] node lib/index.js archived [--workspace PATH] [--limit N] node lib/index.js restore <chunk-id> [--workspace PATH] ``` ## Configuration
Configure Deep Agent backends (StateBackend, FilesystemBackend, StoreBackend, LocalShellBackend, CompositeBackend, Sandboxes). Use when choosing storage, configuring file access, or setting up persistent state.
Generate visualizations from completed experiment evaluations using inspect-viz. Use after run-experiment to create interactive HTML plots from inspect-ai evaluation logs.
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, or extract information from web pages.
Mathlib code quality and style enforcement for Lean 4
Use this skill always when you need to use execute_csharp_script_in_unity_editor tool to modify scenes, add, remove or modify game objects, components, scriptable objects or perform any other task in Unity Editor using C# scripts. Also covers when and how to use read_unity_console_logs and run_unity_tests tools as part of the same workflow and create or modify favourite scripts used to automate tasks.
Expert FinOps guidance covering cloud, AI, and SaaS technology spend. Includes AI cost management, GenAI capacity planning, Anthropic billing, AWS (EC2, Bedrock, Savings Plans, CUR, commitment strategy), Azure (reservations, Savings Plans, AHB, OpenAI PTUs, portfolio liquidity), GCP (Vertex AI, Compute Engine, BigQuery), tagging governance, SaaS management (SAM, licence optimisation, SMPs, shadow IT), AI coding tools (Cursor, Claude Code, Copilot, Windsurf, Codex), ITAM, Databricks, Snowflake, OCI, and GreenOps. Use for any query about technology cost, commitment portfolio management, rightsizing, cost allocation, SaaS sprawl, AI dev tool spend, or connecting spend to business value. Built by OptimNow. --- # FinOps - Expert Guidance > Built by OptimNow. Grounded in hands-on enterprise delivery, not abstract frameworks. --- ## How to use this skill This skill covers cloud, AI, SaaS, and adjacent technology spend domains. Read `references/optimnow-methodology.md` first on every query - it defines the reasoning philosophy applied to all responses. Then load the domain reference that matches the query. ### Domain routing | Query topic | Load reference | |---|---| | AI costs, LLM inference, token economics, agentic cost patterns, AI ROI, AI cost allocation, GPU cost attribution, RAG harness costs | `references/finops-for-ai.md` | | AI investment governance, AI Investment Council, stage gates, incremental funding, AI value management, AI practice operations | `references/finops-ai-value-management.md` | | GenAI capacity planning, provisioned vs shared capacity, traffic shape, spillover, throughput units | `references/finops-genai-capacity.md` | | AWS billing, EC2 rightsizing, RIs, Savings Plans, commitment strategy, portfolio liquidity, phased purchasing, CUR, Cost Explorer, EDP negotiation, RDS cost management, database commitments | `references/finops-aws.md` | | AWS Bedrock billing, Bedrock provisioned throughput, model unit pricing, Bedrock batch inference | `referenc
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:
