19 skills found
openclaw / himalayaCLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).
openclaw / xurlA CLI tool for making authenticated requests to the X (Twitter) API. Use this skill when you need to post tweets, reply, quote, search, read posts, manage followers, send DMs, upload media, or interact with any X API v2 endpoint.
anthropics / triage-issueTriage GitHub issues by analyzing and applying labels
intellectronica / rulerRuler — apply the same rules to all coding agents
intellectronica / rulerRuler — apply the same rules to all coding agents
KeyID-AI / agent-kitGive Claude/Cursor email powers. 27 MCP tools — inbox, send, reply, contacts, search. Free, no signup.
gensecaihq / pfsense-mcp-serverpfSense MCP Server enables security administrators to manage their pfSense firewalls using natural language through AI assistants like Claude Desktop. Simply ask "Show me blocked IPs" or "Run a PCI compliance check" instead of navigating complex interfaces. Supports REST/XML-RPC/SSH connections, and includes built-in complian
appreply-co / mcp-appstoreThis is an MCP server that provides tools to LLMs for searching and analyzing apps from both Google Play Store and Apple App Store – perfect for ASO.
msaad00 / agent-bomThe security scanner for AI infrastructure. Discover agents, scan supply chains, map blast radius, enforce at runtime.
bassem-elsodany / mcp_excel_serverMCP Excel Server — A Python-based Model Context Protocol (MCP) server using openpyxl to enable LLMs and agents to interact with Excel files: create workbooks, read/write sheets and cell ranges, apply formulas, take screenshots (Windows), and more. Features fully automatic tool registration via decorators and seamless integration with AI workflows
omaclaren / annotated-reply-skillCopy the last assistant response (or a file) to the clipboard with an annotation header, ready to paste back as an annotated reply. Explicit invocation only.
toplyr-narfur / nock-interpreter-engineer-assistantA growing repository of AI agent skills that solves the problem of coding agents having imperfect understanding of the Urbit runtime, Urbit terminal commands, and Urbit-native programming languages like Hoon and Nock.
diegosouzapw / co15-combinatorial-designApply CO15 Combinatorial Design to systematically explore option combinations to find optimal configurations.
darwinboaventura / agent-customizationCreate, update, review, fix, or debug VS Code agent customization files (.instructions.md, .prompt.md, .agent.md, SKILL.md, copilot-instructions.md, AGENTS.md). Use for: saving coding preferences; troubleshooting why instructions/skills/agents are ignored or not invoked; configuring applyTo patterns; defining tool restrictions; creating custom agent modes or specialized workflows; packaging domain knowledge; fixing YAML frontmatter syntax.
adimov-eth / context-fieldsApply cognitive constraints that reshape thinking
Sandeep-AdaptIQ / agent-customization**WORKFLOW SKILL** — Create, update, review, fix, or debug VS Code agent customization files (.instructions.md, .prompt.md, .agent.md, SKILL.md, copilot-instructions.md, AGENTS.md). USE FOR: saving coding preferences; troubleshooting why instructions/skills/agents are ignored or not invoked; configuring applyTo patterns; defining tool restrictions; creating custom agent modes or specialized workflows; packaging domain knowledge; fixing YAML frontmatter syntax. DO NOT USE FOR: general coding questions (use default agent); runtime debugging or error diagnosis; MCP server configuration (use MCP docs directly); VS Code extension development. INVOKES: file system tools (read/write customization files), ask-questions tool (interview user for requirements), subagents for codebase exploration. FOR SINGLE OPERATIONS: For quick YAML frontmatter fixes or creating a single file from a known pattern, edit the file directly — no skill needed.
manutej / metaApply categorical meta-prompting to solve a task with strategy selection based on complexity
kadreio / examineFor $ARGUMENTS, thoroughly look through the project and think deeply about how it's structured. Consider things like - Testing - What are the commands - How can we test specific files/modules/
qqharry21 / clean-codeGuidelines for writing clean, maintainable, and human-readable code. Apply these rules when writing or reviewing code to ensure consistency and quality.
