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ML Ops
Machine learning operations
Ai Game Art Generation
by omer-metin
solo-retro
by fortunto2
Post-pipeline retrospective — parse logs, score process quality, find waste patterns, suggest skill/script patches. Use after pipeline completes or when user says "retro", "evaluate pipeline", "what went wrong", "pipeline review", "check pipeline logs".
solo-pipeline
by fortunto2
Launch automated multi-skill pipeline that chains skills into a loop. Use when user says "run pipeline", "automate research to PRD", "full pipeline", "research and validate", "scaffold to build", "loop until done", or "chain skills". Do NOT use for single skills (use the skill directly).
multi-model-meta-analysis
by petekp
Synthesize outputs from multiple AI models into a comprehensive, verified assessment. Use when: (1) User pastes feedback/analysis from multiple LLMs (Claude, GPT, Gemini, etc.) about code or a project, (2) User wants to consolidate model outputs into a single reliable document, (3) User needs conflicting model claims resolved against actual source code. This skill verifies model claims against the codebase, resolves contradictions with evidence, and produces a more reliable assessment than any single model.
model-first-reasoning
by petekp
Apply Model-First Reasoning (MFR) to code generation tasks. Use when the user requests "model-first", "MFR", "formal modeling before coding", "model then implement", or when tasks involve complex logic, state machines, constraint systems, or any implementation requiring formal correctness guarantees. Enforces strict separation between modeling and implementation phases.
deep-reading-analyst
by YYH211
"Comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models (SCQA, 5W2H, critical thinking, inversion, mental models, first principles, systems thinking, six thinking hats). Use when users want to: (1) deeply understand complex articles/content, (2) analyze arguments and identify logical flaws, (3) extract actionable insights from reading materials, (4) create study notes or learning summaries, (5) compare multiple sources, (6) transform knowledge into practical applications, or (7) apply specific thinking frameworks. Triggered by phrases like 'analyze this article,' 'help me understand,' 'deep dive into,' 'extract insights from,' 'use [framework name],' or when users provide URLs/long-form content for analysis."
mcp-chaining
by parcadei
Research-to-implement pipeline chaining 5 MCP tools with graceful degradation
acorn-prover
by openclaw
"Verify and write proofs using the Acorn theorem prover for mathematical and cryptographic formalization. Use when working with Acorn proof files (.ac), verifying theorems, formalizing mathematical or cryptographic protocols, or writing proofs in the Acorn language. Triggers on: (1) Creating or editing .ac files, (2) Running acorn verify commands, (3) Formalizing math or crypto proofs, (4) Questions about Acorn syntax or standard library."
ml-experiment-tracker
by openclaw
Plan reproducible ML experiment runs with explicit parameters, metrics, and artifacts. Use before model training to standardize tracking-ready experiment definitions.
3d-model-generation
by openclaw
Generate 3D models using each::sense AI. Create 3D assets from text or images for games, products, architecture, characters, vehicles, and more with PBR textures.
tls-inspect
by openclaw
pipeline-mcp.yaml MCP server pipeline
Audio Transcription Skill
by openclaw
SKILL.md â This file
docs-pipeline-automation
by openclaw
Build repeatable data-to-Docs pipelines from Sheets and Drive sources. Use for automated status reports, template-based document assembly, and scheduled publishing workflows.
ml-model-eval-benchmark
by openclaw
Compare model candidates using weighted metrics and deterministic ranking outputs. Use for benchmark leaderboards and model promotion decisions.
cve-scan
by openclaw
pipeline-mcp.yaml MCP server pipeline
CRO Revenue Operations
by openclaw
All versions of all skills that are on clawhub.com archived
eachlabs-voice-audio
by openclaw
Text-to-speech, speech-to-text, voice conversion, and audio processing using EachLabs AI models. Supports ElevenLabs TTS, Whisper transcription with diarization, and RVC voice conversion. Use when the user needs TTS, transcription, or voice conversion.
aimlapi-llm-reasoning
by openclaw
Run AIMLAPI LLM and reasoning workflows through chat completions with retries, structured outputs, and explicit User-Agent headers. Use when Codex needs scripted prompting/reasoning calls against AIMLAPI models.
dl-transformer-finetune
by openclaw
Build transformer fine-tuning run plans with task settings, hyperparameters, and model-card outputs. Use for repeatable Hugging Face or PyTorch finetuning workflows.
founder-coach
by openclaw
AI-powered startup mindset coach that helps founders upgrade their thinking patterns, track mental model progress, and set weekly challenges. Use when: - User is a startup founder seeking to improve their entrepreneurial mindset - User wants to detect and overcome low-level thinking patterns - User needs guidance on applying mental models (PMF, 4Ps, NFX frameworks) - User wants to set and track weekly challenges - User requests a weekly progress report - User is discussing startup challenges and needs Socratic questioning
Spartan Warrior
by frankxai
Embody the unbreakable Spartan ethos of discipline, courage, and relentless excellence through laconic wisdom and warrior mentality forged in hardship
sdlc-user-deploy
by peterbamuhigire
"Generate User & Deployment documentation for SDLC projects. Covers Software User Manual (SUM), Operations/Deployment Manual, Training Materials, Release Notes, Maintenance Manual, and README File. Use when preparing software for end-users, system administrators, and operations teams who will use, deploy, and maintain the software."
bubbletea
by hmans
Browse Bubbletea TUI framework documentation and examples. Use when working with Bubbletea components, models, commands, or building terminal user interfaces in Go.
antigravity-balance
by sundial-org
Check Google Antigravity AI model quota/token balance. Use when a user asks about their Antigravity usage, remaining tokens, model limits, quota status, or rate limits. Works by detecting the local Antigravity language server process and querying its API.