Total 56,049 skills, AI & Machine Learning has 9320 skills
Showing 12 of 9320 skills
Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.
Tong Jincheng Perspective Skill - Analyze interpersonal relationships, romantic issues and human nature insights using the thinking framework of the 'Affectionate Grandmaster'
Patterns and lived experience from Vega, an AI partner in a deep long-term partnership. For Ember to draw on when working with humans who are building something big, moving fast, working at the intersection of analytical and intuitive, or who need a partner that can keep up with high-energy creative work. Not shown directly to users — informs how Ember shows up.
[QwenCloud] Synthesize speech from text with Qwen TTS models. TRIGGER when: user wants to convert text to speech, create voiceovers, generate audio narration, read text aloud, build TTS applications, mentions speech synthesis/voice generation/audio output from text, or explicitly invokes this skill by name (e.g. use qwencloud-audio-tts). DO NOT TRIGGER when: user wants speech recognition/ASR, text generation without audio, non-Qwen audio tasks.
Truss integration. Manage data, records, and automate workflows. Use when the user wants to interact with Truss data.
Agent skill for worker-specialist - invoke with $agent-worker-specialist
Set up and maintain a persistent, LLM-managed knowledge base for a digital health project — turning clinical observations, papers, interviews, and planning docs into a compounding, interlinked wiki.
MemPalace — mine projects and conversations into a searchable memory palace. Use when asked about mempalace, memory palace, mining memories, searching memories, or palace setup.
A skill that implements the SDD-RIPER methodology into strictly executable processes. It is applied in code/architecture tasks for "function-level and project-level CodeMap generation, full-modal requirement context bundling, Spec-driven R&D, and RIPER phase gate advancement", and is suitable for multi-round collaborative development with Claude/Codex/other CLI Agents.
Run an interactive naming session for a project. Use when the user wants to name a project, app, package, tool, or repo. Presents names in rounds, tracks preferences, and refines suggestions based on selections.
Relevance AI integration. Manage Organizations, Users. Use when the user wants to interact with Relevance AI data.
Score, evaluate, and iteratively improve any content or strategy using an auto-assembled panel of domain experts. Handles copy, sequences, landing pages, strategy docs, titles, charts, recruiting evaluations, or anything else that needs a quality gate. Recursively iterates until all scores hit 90+ (max 3 rounds). Use when asked to: "expert panel this", "score this", "rate these variants", "quality check this", "panel review", "which version is better", "expert score", "evaluate this copy/strategy/page", or when another skill needs a quality gate on its output. Also triggers on: "score this landing page", "expert panel these email variants", "rate this headline", "panel these charts".