directory-submissions
When the user wants to submit their product to startup, SaaS, AI, agent, MCP, no-code, or review directories for backlinks, domain rating, and discovery. Also…
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-05 00:16
25,660 results
When the user wants to submit their product to startup, SaaS, AI, agent, MCP, no-code, or review directories for backlinks, domain rating, and discovery. Also…
Works with the Kelviq monetization platform (products, plans, checkout, subscriptions, entitlements, usage-based billing, pricing-as-code) via the kelviq MCP…
Create and maintain lightweight Architecture Decision Records as agent-readable decision memory: what was decided, why, and what was rejected. Use when "record…
Upgrade how an existing SKILL.md instructs, not what it does: freedom, a classification contract, one worked example, an evidence rubric, effort. Use when…
Plan-only ASO audit of App Store and Google Play listings: keywords, localized metadata, screenshots, ratings prompts. Use when "optimize our store listing",…
LOCAL voice transcription using OpenAI Whisper. 100% private - audio never leaves your machine. Supports 97+ languages.
Delegates bounded implementation, investigation, and review tasks to Claude, then verifies the returned work against current repository state. Use when Claude…
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when…
Analyze your past Claude Code conversations to measure AI fluency. Based on Anthropic's 4D AI Fluency Framework (Dakan & Feller, 2026) and their study of 9,830…
A file-based lesson memory that Claude Fable 5 / 5.1 reads and maintains across sessions. Use for any recurring agent (daily jobs, long projects, team…
Make Claude Fable 5 / 5.1's final report readable to someone who saw none of the work. Use for long agentic sessions, overnight runs, and multi-tool tasks —…
Authoritative guide for making an LLM fully operate OpenAI Codex CLI as its assistant — replacing the human at the keyboard. Covers all three orchestration…
Provider-agnostic wait-for-change skill that uses the Dumbwaiter MCP server to wait on PR events (GitHub first) via wait.start/status/cancel/await, with…
Finish an authorized task end to end when an agent might stop at diagnosis, hand back a plan, or ask whether to continue. Use when explicitly invoked or when…
Debug Claude Code plugins
Live onboarding tour of newly implemented code. Combines /deep-trace, the vscode-debug-mcp bridge, and playwright-cli to run the target app in a debug session,…
Continuous Agentation annotation handling. Use when the user says "watch mode", asks you to watch for Agentation annotations, process feedback as it arrives,…
Standardized inline markers for inter-agent communication. Use when creating handoff annotations for other agents, scanning for pending work from upstream…
A publisher-documented legacy skill for agent-team context handling, listed for removal during migration to native agent teams.
A methodology framework for creating and maintaining Claude skills and subagents. Use when the user wants to write SKILL.md, create a new skill, design a subagent / agent.md, configure frontmatter, split progressive disclosure, or adjust an existing skill's structure/triggers/maintenance pitfalls. Pure 9…
A methodological framework for creating, maintaining, and validation-gated optimizing Claude skills and subagents. Process A creates from scratch (positioning/skeleton/frontmatter/research/validation), Process B optimizes existing ones (9-dimension scoring/single-variable hill climbing/stop at ceiling/results card). Includes domain-perspective distillation (dimension-by-dimension research + triple validation). Does not distill personas. Manual only…
Cross-subsystem digest for the ~/.learnwy/ data root. Aggregates vocab progress (english-learner), wiki health (llm-wiki), prompt-optimizer trigger trends,…
Use when you have already tried prompt-only optimization and want the next level — jointly tuning prompts and model weights for maximum quality. Common…
Use when you need maximum quality from a smaller/cheaper model — generates training data from a teacher model and fine-tunes a student model weights. Common…