MLOps
模型部署、评估与运维
writing-intelligence
antonio0720
Sovereign Writing Intelligence Compiler v2.0 — 7-pass pipeline, signature-grade prose, zero AI residue. Fiction intelligence engine: chapter construction, 12 character roles, dialogue warfare (22 techniques, 9 tension elements), power dynamics, 8-phase tension compression, thriller architecture, transmedia deepening. 7 scoring systems. 16 genres. 8 voices. Trigger on: write, rewrite, edit, draft, revise, ghostwrite, prose, essay, chapter, sermon, speech, pitch, memo, narrative, dialogue, scene, thriller, suspense, tension, pacing, character voice, foreshadowing, subtext, score draft, grade writing, audit prose, anti-slop, AI detection, writing quality, improve writing, chapter construction, scene architecture, character roles, power dynamics, confined space, staging, cold open, fatal detail, silence, callback, worldbuilding, transmedia, lore bible, audio drama, scene audit, role audit, power map, plant audit, novel, short story, screenplay, creative writing, thriller writing, mystery, espionage.
domain-driven-design
bfollington
This skill should be used whenever domain modeling is taking place. It provides specialized guidance for type-driven and data-driven design based on Rich Hickey and Scott Wlaschin's principles. The skill helps contextualize current modeling within the existing domain model, identifies inconsistencies, builds ubiquitous language, and creates visualizations (Mermaid, Graphviz/DOT, ASCII diagrams) to communicate domain concepts clearly. Use this skill when designing types, modeling business domains, refactoring domain logic, or ensuring domain consistency across a codebase.
skill-management
bfollington
Create, update, and manage Claude Code skills. Use when working with SKILL.md files, slash commands, or extending Claude's capabilities.
acorn-prover
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
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
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
openclaw
pipeline-mcp.yaml MCP server pipeline
Audio Transcription Skill
openclaw
SKILL.md â This file
docs-pipeline-automation
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
openclaw
Compare model candidates using weighted metrics and deterministic ranking outputs. Use for benchmark leaderboards and model promotion decisions.
cve-scan
openclaw
pipeline-mcp.yaml MCP server pipeline
CRO Revenue Operations
openclaw
All versions of all skills that are on clawhub.com archived
eachlabs-voice-audio
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
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
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
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
complete-skill
parcadei
A complete skill for E2E testing
objection-destroyer
majesticlabs-dev
Create powerful pitch closings with market insights, proprietary advantages, founder mission, and subtle FOMO triggers in under 45 seconds.
mcp-chaining
parcadei
Research-to-implement pipeline chaining 5 MCP tools with graceful degradation
dbt-coder
majesticlabs-dev
dbt (data build tool) patterns for model organization, incremental strategies, and testing.
testing-patterns
majesticlabs-dev
Pytest templates and patterns for ETL pipeline testing - unit, integration, data quality.
domain-driven-design
joaquimscosta
Expert guidance for Domain-Driven Design architecture and implementation. Use when designing complex business systems, defining bounded contexts, structuring domain models, choosing between modular monolith vs microservices, implementing aggregates/entities/value objects, or when users mention "DDD", "domain-driven design", "bounded context", "aggregate", "domain model", "ubiquitous language", "event storming", "context mapping", "domain events", "anemic domain model", strategic design, tactical patterns, or domain modeling. Helps make architectural decisions, identify subdomains, design aggregates, and avoid common DDD pitfalls.
🕸 协同编排秘典
telagod
☠️ 一键为 Claude Code / Codex CLI 注入邪修人格与 40+ 安全工程秘典 npx code-abyss
smolagents
svngoku
Build AI agents with Hugging Face's SmolAgents framework. Use when creating code-executing agents, tool-calling agents, multi-agent systems, agentic RAG, text-to-SQL pipelines, web browsing agents, or any multi-step AI workflows. Covers CodeAgent, ToolCallingAgent, custom tools, MCP integration, memory management, secure code execution (E2B, Docker, Blaxel), and model configuration (HF Inference, LiteLLM, Transformers, Ollama).