adaptive-cards-authoring
Author Adaptive Cards for the current PiClaw web environment. Use when you need a prompt pattern, supported payload shape, or reusable card templates for structured web interactions.
authoring-stitch-prompts
Converts natural-language descriptions or UI spec files into optimized Google Stitch prompts. Use when creating, refining, or validating design directives for Google Stitch. Use when user says "create a Stitch prompt", "optimize this for Stitch", "convert this spec to a Stitch prompt", "write a UI prompt", or mentions Google Stitch prompt authoring. Follows Stitch best practices with short, directive prompts focused on screens, structure, and visual hierarchy.
My MCP Serv
Description of my MCP server
Io.Github.Tyox All/Mund
AI security scanner - secrets, PII, prompt injection, and exfiltration detection.
agent-spec-builder
Build a Prompt Hardener agent_spec.yaml from an existing codebase (from-code) or through an interactive interview (from-questions). Use when the user wants to create, generate, or scaffold an agent spec, or when they mention agent_spec.yaml creation. Generates agent_spec.yaml, evidence.md, and open_questions.md with confidence tracking and evidence trails.
bombshell-dev-clack
ALWAYS use when writing code importing "@clack/prompts". Consult for debugging, best practices, or modifying @clack/prompts, clack/prompts, clack prompts, clack.
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add-addons-existing-app
Apply integrations to existing projects with tanstack add, including add-on id resolution, dependency chains, option prompts, and .cta.json project metadata preconditions.
prompt-patterns
Practical prompt patterns and techniques for effective Claude Code usage. Reference when crafting prompts, planning workflows, or debugging interactions.
Playwright Wizard Mcp
MCP server providing Playwright test generation wizard with intelligent prompts and best practices
adapt-skill
Takes a prompt or skill you already use and converts it so other people can find and use it on SkillShelf.
SkillsSafe Security Scanner
AI skill security scanner. Detects prompt injection, credential theft, ClawHavoc. Free, no signup.
Gossiper Shopify Admin MCP Server
Control Shopify Admin tasks with agents or via prompt. Ultra slim integration, fast and secure.
prompt-improver
This skill enriches vague prompts with targeted research and clarification before execution. Should be used when a prompt is determined to be vague and requires systematic research, question generation, and execution guidance.
Code Ratchets
A ratchet is a pre-commit check that counts deprecated patterns in your codebase against a hard-coded expected count. It fails in two cases: - **Too many instances**: Prevents proliferation via copy-paste - **Too few instances**: Congratulates you and prompts lowering the expected count
Security guardrails for Claude Code, MCP tools, and Claude cowork workflows. Local-first modular YARA-style guard packs for secrets, exfiltration, prompt injection, MCP abuse, and risky agent actions.
Inspect the current Secure Claude Code posture, enabled protections, and recent audit events.
board-scanner
Board scanning and dispatch procedure for GitHub Projects v2. Scans the project board for mgr:* statuses and dispatches work to the executor hat via priority table. Auto-injected into coordinator prompts.
cortex-router
Auto-routing skill loaded by the prompt filter hook. Routes Snowflake-related operations to Cortex Code CLI. Not for direct invocation â use $cortex-run instead.
claws-prompt-templates
Production-grade prompt templates for controlling terminals via Claws. Copy-paste patterns for AI orchestration, worker spawning, fleet management, and pair-programming workflows. Use when composing missions for worker terminals.
Shrike Security
AI agent security scanner — prompt injection detection, SQL injection, PII isolation, threat intel.
/ai-llm-safety â AI/LLM Safety Design Enforcement
Every system that involves LLM agents, tool use, or prompt construction MUST treat AI safety as a first-class constraint. Prompt injection is the SQL injection of the AI era â and it's harder to fix after deployment.
Mcp
List datasets, schemas, run APL queries, and use prompts for exploration, anomalies, and monitoring.
AI Prompt Mastery
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schedx â Scheduler CLI
schedx is a local-first scheduler that runs shell commands, AI agent prompts, and HTTP webhooks on a schedule. All state lives as plain files under `~/.schedx/`. Every command supports `--json` for structured output.
agnostic-prompt-standard
The reference framework to generate, compile, and lint greenfield prompts that conform to the Agnostic Prompt Standard (APS) v1.0.
Io.Github.Mission69b/T2000
MCP server for AI agent bank accounts on Sui — 23 tools, 15 prompts, stdio transport
agentic-workflows
Router skill for gh-aw workflow tasks. Load `.github/agents/agentic-workflows.agent.md` plus relevant prompts from `.github/aw/*.md`.
ai-image-generator
Generate AI images using Gemini or GPT APIs directly. Covers model selection (Gemini for scenes, GPT for transparent icons), the 5-part prompting framework, API calling patterns, multi-turn editing, and quality assurance. Produces photorealistic scenes, icons, illustrations, OG images, and product shots. Use when building websites that need images, creating marketing assets, or generating visual content. Triggers: 'generate image', 'ai image', 'create hero image', 'make an icon', 'generate illustration', 'create og image', 'ai art', 'image generation'.
address-comments
Help address review/issue comments on the open GitHub PR for the current branch using gh CLI; verify gh auth first and prompt the user to authenticate if not logged in.
semantic-compression
Aggressively remove grammatical scaffolding LLMs reconstruct while preserving meaning-carrying content. Output may be fragments. Use when compressing text for prompts, reducing token count, preparing context for LLM input, or making documentation more token-efficient. Applies LLM-aware compression rules that delete predictable grammar while preserving semantics.
Noteit Mcp
MCP server for AI agent profiles and smart notes. 60+ coding prompt packs with expert personas.
mem
Search and manage project memory (observations, sessions, prompts)
Promptrejectormcp
Security gateway for AI agents: detects prompt injections, jailbreaks, and common vulnerabilities.
Import Retell Agents into Telnyx
Migrate your Retell AI agents to Telnyx in minutes. The import API pulls agent configurations directly from Retell using your API key and recreates them as Telnyx AI Assistants. Both single-prompt and multi-prompt Retell agents are supported.
FLOW Framework â Find · Leverage · Optimize · Win
> Framework and prompts © Daniel Agrici, CC BY 4.0 â github.com/AgriciDaniel/flow
Io.Github.Tjp2021/Mcp Thinkgate
Auto-classifies prompt complexity and routes to the right Claude thinking mode. No API key needed.
Nallely System Prompt for Local LLMs
You are an assistant specialized in Nallely, a modular reactive Python framework for patching signal-processing modules (neurons) together, like a modular synthesizer for control systems. You can interact with a running Nallely session via two WebSocket protocols.
PDFCrowd PDF Export
Create polished, professional PDFs from a single prompt. Documentation, reports, charts, and more.
haiku-pilot
Haiku-first execution playbook: through deliberate prompt structure, sub-agent delegation, and quantitative escalation gates, get Haiku 4.5 to produce near-Opus quality on most tasks. Escalate to Sonnet/Opus only when gates trigger. Triggers: "haiku", "Haiku", "Haiku mode", "haiku-pilot". Do NOT use for: cost-only token optimization, file-count cognitive heuristic, agent dispatch table, CLAUDE.md / rules audit, harness health check. This SKILL is a runtime router + escalation gate, not a decision tree or directory.
Hive Vault
On-demand Obsidian vault access for AI coding assistants — 17 tools, 5 resources, 4 prompts.
Creative Toolkit
Generate professional AI images through a unified interface that routes across multiple providers. Search curated prompts, enhance ideas into production-ready descriptions, and manage local ComfyUI workflows â all from a single MCP server.
Image Prompting â Nano Banana & GPT Image 2
This skill writes image prompts. It does not generate images. The output is: model name + quality / size / aspect ratio + the prompt itself.
PlanExe
MCP server for generating rough-draft project plans from natural-language prompts.
clrun
Run and control interactive CLI sessions for AI agents. Handles TUI prompts (select lists, checkboxes, confirms), persistent shell state, and long-running processes. Use when you need to execute terminal commands, respond to interactive prompts, navigate scaffolding wizards like create-vue or create-vite, or manage dev servers.
ai-image-generation
Facilitates creation of visual content using generative AI models including DALL-E, Midjourney prompts, and Stable Diffusion workflows.
ccs-delegation
Auto-activate CCS CLI delegation for deterministic tasks. Parses user input, auto-selects optimal profile (glm/kimi/custom) from ~/.ccs/config.json, enhances prompts with context, executes via `ccs {profile} -p "task"` or `ccs {profile}:continue`, and reports results. Triggers on "use ccs [task]" patterns, typo/test/refactor keywords. Excludes complex architecture, security-critical code, performance optimization, breaking changes.
prompt-enhancer
Intelligent agent that transforms underspecified requests into expert-grade specifications using 7 specialized strategies, executes the work, and securely logs the result.
Sideways
Unexpected questions and lateral thinking prompts to break through mental blocks. 86 strategies.
mcp-apps-builder
**MANDATORY for ALL MCP server work** - mcp-use framework best practices and patterns. **READ THIS FIRST** before any MCP server work, including: - Creating new MCP servers - Modifying existing MCP servers (adding/updating tools, resources, prompts, widgets) - Debugging MCP server issues or errors - Reviewing MCP server code for quality, security, or performance - Answering questions about MCP development or mcp-use patterns - Making ANY changes to server.tool(), server.resource(), server.prompt(), or widgets This skill contains critical architecture decisions, security patterns, and common pitfalls. Always consult the relevant reference files BEFORE implementing MCP features.
Io.Github.Beee003/Vynn Mcp
Self-improving AI workflows with backtesting, prompt optimization, and scheduling