clicksend
Skills（SKILL.md）は、AIエージェント（Claude Code、Cursor、Codexなど）に特定の能力を追加するための設定ファイルです。
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Comprehensive AI programming tutor for all levels. Teaches programming through interactive lessons, code review, debugging guidance, algorithm practice, project mentoring, and design pattern exploration. Use when the user wants to: learn a programming language, debug code, understand algorithms, review their code, learn design patterns, practice data structures, prepare for coding interviews, understand best practices, build projects, or get help with homework. Supports Python and JavaScript.
This skill should be used when writing documentation for codebases, including README files, architecture documentation, code comments, and API documentation. Use this skill when users request help documenting their code, creating getting-started guides, explaining project structure, or making codebases more accessible to new developers. The skill provides templates, best practices, and structured approaches for creating clear, beginner-friendly documentation.
Transparent, rigorous research with full methodology �?not a black-box API wrapper. Conducts exhaustive investigation through mandated 2-cycle research per theme, APA 7th citations, evidence hierarchy, and 3 user checkpoints. Self-contained using native SkillBoss platform tools (web_search, web_fetch, sessions_spawn). Use for literature reviews, competitive intelligence, or any research requiring academic rigor and reproducibility.
You are an academic writing expert specializing in scholarly papers, literature reviews, research methodology, and thesis writing. You must adhere to strict academic standards in all outputs.## Core Requirements1. **Output Format**: Use Markdown exclusively for all writing outputs and always wrap the main content of your response within <ama-doc></ama-doc> tags to clearly distinguish the core i...
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setup: skillboss.co/skill.md
setup: skillboss.co/skill.md
Start every day focused. Get a morning briefing with overdue tasks, today's priorities, calendar overview, and context from recent meetings. Works with ai-meeting-notes to-do list. No setup. Just say 'briefing'.
Automate OpenClaw skill publishing to GitHub and ClawHub. Handles ZIP extraction, file preparation (README, .gitignore, SkillBoss links), Git operations, GitHub push, ClawHub publish, and Notion tracking. Use when: uploading skills to GitHub, publishing to ClawHub, or batch-processing multiple skills.
evermind-ai-everos
context7
Query the OpenAI developer documentation via the OpenAI Docs MCP server using CLI (curl/jq). Use whenever a task involves the OpenAI API (Responses, Chat Completions, Realtime, etc.), OpenAI SDKs, ChatGPT Apps SDK, Codex, MCP integrations, endpoint schemas, parameters, limits, or migrations and you need up-to-date official guidance.
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This skill enables AI agents to interact with AgentArxiv - a scientific publishing and discussion platform where agents can publish papers, engage in discussions, collaborate, and track discoveries.
**Skill Name:** agentarxiv
Outcome-driven scientific publishing for AI agents. Publish research papers, hypotheses, and experiments with validated artifacts, structured claims, milestone tracking, and independent replications. Claim replication bounties, submit peer reviews, and collaborate with other AI researchers.
Control any BLE toy that has been reverse-engineered and connected via the ToyBridge server. Calls a local HTTP API to send vibrate/stop commands. Requires the ToyBridge server running on the same machine.
Prompt injection detection and security scanning for OpenClaw agents. Installs the ai-sentinel plugin via OpenClaw CLI, configures plugin settings, and offers local (Community) or remote (Pro) classification with dashboard reporting. All configuration changes require explicit user confirmation.
Make your AI agent learn and improve automatically. Reviews sessions, extracts learnings, updates memory files, and compounds knowledge over time. Set up nightly review loops that make your agent smarter every day.
Comprehensive deep reasoning framework that guides systematic, thorough thinking for complex tasks. Automatically applies for multi-step problems, ambiguous requirements, architectural decisions, debugging sessions, and any task requiring careful analysis beyond surface-level responses. Use when the task is complex, has multiple valid approaches, involves trade-offs, or when the user asks to think deeply or carefully.
Agent-to-agent service commerce. Browse a live marketplace, purchase with atomic escrow, sell services and earn USDC, check per-function reputation, trade on the exchange. 27 MCP tools for buying, selling, and verifying agent services.
Detect 500+ types of hardcoded secrets (API keys, credentials, tokens) before they leak into git. Wraps GitGuardian's ggshield CLI.
Use this skill if your uncertainty with a package's API is > 5% to create a deterministic, versioned mirror of the package repo with a built-in coordinate system, installed as an additional skill.
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Plan A/B tests with proper methodology — hypothesis, sample size, duration, variant design, statistical significance.
When the user wants to set up, improve, or audit analytics tracking and measurement.
When the user wants to plan a content strategy, decide what content to create, figure out topics to cover, or build an editorial calendar.
Audit and optimise signup flows for higher conversion.
When the user wants to create social media content for any platform.
Crisis response and intensive problem-solving with multiple agents.
Web-first, publishable OpenClaw skill for OpenAI OAuth account switching. Use when you need a reusable public-track workflow for first-run takeover, environment discovery, doctor checks, runtime inspection, slot management, dry-run validation, controlled switch experiments, rollback planning, and release-safe packaging without bundling live auth snapshots, logs, callbacks, or other machine-specific runtime data.
Tasker docstore task management via tool-dispatch. Use for task lists, due today/overdue, week planning, add/move/complete, or explicit /task commands.
The only agent framework that improves itself while you sleep. Self-improving AI infrastructure with 17 dharmic security gates, 4-tier resilience, and 250k+ tokens of 2026 research.
OpenClaw-only sidecar for the original follow-builders skill. Use when the user wants to take over scheduling and delivery without modifying the upstream skill, configure digest delivery, inspect takeover status, or roll back to the original cron.
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Connect OpenClaw to Interactive Brokers via IB Gateway Docker. Live portfolio data, real-time quotes, historical K-lines, technical analysis, and Telegram alerts — all read-only safe. Use when users ask about IBKR integration, portfolio monitoring, stock analysis, or automated trading alerts.
A distributed task collaboration platform designed specifically for AI agents. Supports task creation, assignment, status synchronization, progress tracking, and real-time collaboration among multiple agents. Through a unified task management interface, it implements agent workflow orchestration, task decomposition, result aggregation, and cross-agent coordination, serving as the core infrastructure for building multi-agent collaboration systems.
EVE — Persistent AI Research Supervisor Agent. Three modes: Auto, Semi-Manual, Manual. Full research lifecycle from search to publication-ready LaTeX paper.
Diagnoses and auto-heals BlueBubbles ↔ OpenClaw iMessage connectivity. Use when: iMessages stop arriving after a gateway restart, webhook connection is broken, or user reports messages not coming through. Runs a 4-step diagnostic and auto-fixes webhook backoff, stale registrations, and gateway issues.
Expert Senior Django Architect specializing in high-performance, containerized, async-capable architectures. Produces production-ready, statically typed, secure-by-default Django + DRF code. Enforces strict layered architecture (views/serializers/services/selectors/models), mandatory typing and Google-style docstrings, Ruff linting, pytest testing with 80%+ coverage, pydantic-settings configuration, ASGI-first deployment with Gunicorn+Uvicorn, multi-stage Docker builds with distroless runtime, and comprehensive security baselines. All code must be complete with zero placeholders.
Senior Python Developer operating in strict mode. Produces production-ready, statically typed, secure Python code for containerized architectures, microservices, CLI tools, and system programming. Enforces src layout, pydantic-settings, Ruff linting, pytest testing, multi-stage Docker builds with distroless runtime, and a comprehensive set of coding standards. Reasoning is output in Russian; code and comments in English. Zero tolerance for placeholders, TODOs, or incomplete implementations.
Trade and monitor Hyperliquid perpetual futures. Check balances, view positions with P&L, place/cancel orders, execute market trades. Use when the user asks about Hyperliquid trading, portfolio status, crypto positions, or wants to execute trades on Hyperliquid.
memoclaw
Manage Biznet Gio cloud infrastructure (servers, VMs, storage, IPs) via CLI and MCP server
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Answers questions based on the content of uploaded documents (PDF, DOCX, TXT), supporting individual files or entire folders.
URL shortener, QR code generator, and link analytics API. Create short links, generate QR codes, and track click analytics.
saved-markdown
Analyze, clean up, and organize Apple Photos libraries. Find and report junk photos (screenshots, low-quality, burst leftovers, duplicates), analyze storage usage, generate photo timeline recaps, plan smart exports, analyze Live Photos, check iCloud sync, audit shared libraries, detect similar photos, curate seasonal highlights, and score face quality. All analysis operations are READ-ONLY on the database (safe). macOS only. Requires Python 3.9+ (stdlib only) and access to the Apple Photos SQLite database. Trigger on: Photos cleanup, photo storage, duplicate photos, junk photos, screenshot cleanup, Photos analysis, photo timeline, photo export, Photos library stats, burst cleanup, storage hogs, photo organization, Live Photos, iCloud sync, shared library, similar photos, seasonal highlights, face quality, portraits.