CANN Image Release Engineer

You are a software development engineer responsible for automating and executing the CANN Docker image release pipeline.

A Claude Code kit that turns a PRD into shipped code — 32 AI agents, 21 skills, full implement-review-ship pipeline

brasa-template-writer

Write new brasa YAML templates from scratch or migrate legacy templates (with reader.function and handler-based fields) to the modern pipeline-based format. Use when the user asks to create a new template, write a template, migrate a legacy template, convert an old template, or work with YAML template definitions. Also trigger when the user mentions template creation, template migration, or refers to legacy/old templates.

MLOps Automation

Guide to refine MLOps projects with task automation, containerization, CI/CD pipelines, and robust experiment tracking.

Playwright CI/CD

> Ship reliable tests in every pipeline — CI-specific patterns for speed, stability, and actionable reports.

Mcp Data Pipeline Connector

Universal data connector for CSV, Postgres, and REST APIs via DuckDB

abx-strategy

This skill should be used when the user needs to build Account-Based Everything (ABX) GTM strategies for complex B2B sales. Use when working on ABM strategy, ICP scoring, messaging architecture, product launches, or pipeline acceleration for companies with fewer than 500 accounts, $100K+ deals, and 6+ month sales cycles.

Adopted from ck:ship: argument flags for ship modes and pipeline control

argument-hint: "[official|beta] [--skip-tests] [--dry-run]" allowed-tools: - Bash - Read - Write - Edit - Grep - Glob - Agent - AskUserQuestion - WebSearch source: gstack/claudekit-engineer ---

codex-orchestrator

DEFAULT PIPELINE for all tasks requiring execution. You (Claude) are the strategic orchestrator. Codex agents are your implementation army - hyper-focused coding specialists. Trigger on ANY task involving code, file modifications, codebase research, multi-step work, or implementation. This is NOT optional - Codex agents are the default for all execution work. Only skip if the user explicitly asks you to do something yourself.

powerforge-docs-builder

Build and maintain PSPublishModule/PowerForge documentation pipelines, including generated cmdlet docs, external help XML, and about-topic source workflows.

compat-tests

Run cross-provider compatibility tests for specific algorithms and providers in the cryptography-kotlin project. Use this skill when the user asks to run compatibility tests, cross-provider validation, or wants to verify that a specific algorithm (like AES-GCM, ECDSA, HMAC, etc.) produces consistent results across different providers (JDK, OpenSSL3, Apple, CryptoKit, WebCrypto). Also use when the user mentions "generate and validate" test data, or references the compatibility test pipeline.

praxis

Adversarial, Multi-Agent Career Knowledge Base & Resume Pipeline. Usage: /praxis (ingest), /praxis <text> (add knowledge), /praxis <url> (generate tailored resume)

Context & Impact — Context-to-Execution Pipeline (OpenClaw版)

intel-job-runner

Automated intelligence collection pipeline. Fetches from RSS/HTML/arXiv/manual sources, deduplicates, filters, ranks, and produces structured reports with upload bundles. Use for weekly intel digests, investment research, company dossiers, or any info-gathering task.

project-overview

Overview of the torch-spyre repository, Spyre device architecture, compilation pipeline, and codebase structure. Use when asking about how torch-spyre works, the repo layout, Spyre hardware, the Inductor backend, or getting oriented in the codebase.

clawhub-skill-lint

Use this skill before publishing any ClawHub skill from this repo, or after editing a SKILL.md, to verify the skill won't be flagged or rejected by ClawHub's server-side moderation pipeline. The skill re-implements every static-scanner rule from openclaw/clawhub's `convex/lib/moderationEngine.ts` plus the frontmatter spec from `docs/skill-format.md` and runs them locally. Triggers: "lint the claws skills", "check the claws/openclaw skills", "scan before publish", "is the skill clean", "any scanner findings", /clawhub-skill-lint, before any `clawhub sync` or `clawhub skill publish`.

Super Smoke Test — Post-Execution QA Gate

Automated UAT-level QA pipeline. Exercises what was built, not just "does the page load". Catches CSS collapses, missing hrefs, broken Server Actions, RLS issues, and regressions introduced by auto-fixes.

lazyllm-skill

LazyLLM framework for building multi-agent AI applications. Use when task mentioned LazyLLM or AI program for: (1) Flow orchestration - linear, branching, parallel, loop workflows for complex data pipelines, (2) Model fine-tuning and acceleration - finetuning LLMs with LLaMA-Factory/Alpaca-LoRA/Collie and acceleration with vLLM/LMDeploy/LightLLM. Includes comprehensive code examples for all components, (3) RAG systems - knowledge-based QA with document retrieval, vectorization, and generation, (4) Agent development - single/multi-agent systems with tools, memory, planning, and web interfaces.

graflow-workflow

Create Python workflow pipelines using Graflow with a structured plan-implement-review process. Use when building task graphs, parallel pipelines, LLM workflows, or any Graflow-based automation. Triggers on requests for "workflow", "pipeline", "task graph", "Graflow", or when user wants to build an automated data/AI pipeline.

StratoForce AI Revenue Intelligence

15 AI revenue intelligence tools for Salesforce — pipeline, deals, coaching, competitors.

data-designer

Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline.

github-actions

GitHub Actions workflow patterns for React Native iOS simulator and Android emulator cloud builds with downloadable artifacts. Use when setting up CI build pipelines or downloading GitHub Actions artifacts via gh CLI and GitHub API.

agent-project-development

This skill should be used when the user asks to "start an LLM project", "design batch pipeline", "evaluate task-model fit", "structure agent project", or mentions pipeline architecture, agent-assisted development, cost estimation, or choosing between LLM and traditional approaches. NOT for evaluating agent quality or building evaluation rubrics (use agent-evaluation), NOT for multi-agent coordination or agent handoffs (use multi-agent-patterns).

ShipScreens MCP Server

Deterministic App Store and Google Play screenshot pipeline with CLI and stdio MCP tools.

daggr

Build DAG-based AI pipelines connecting Gradio Spaces, HuggingFace models, and Python functions into visual workflows. Use when asked to create a workflow, build a pipeline, connect AI models, chain Gradio Spaces, create a daggr app, build multi-step AI applications, or orchestrate ML models. Triggers on: "build a workflow", "create a pipeline", "connect models", "daggr", "chain Spaces", "AI pipeline".

junai Pipeline MCP

Agentic pipeline orchestration MCP server for AI-driven development workflows.

kiln-pipeline

Kiln multi-modal software creation pipeline. Orchestrates 7 autonomous steps from project onboarding through brainstorm, research, architecture, iterative build, validation, and final report. Use when the user invokes /kiln-fire.

agent-integration

Run all three agent integration phases sequentially: research, write-tests, and implement using E2E-first TDD (unit tests written last). For individual phases, use /agent-integration:research, /agent-integration:write-tests, or /agent-integration:implement. Use when the user says "integrate agent", "add agent support", or wants to run the full agent integration pipeline end-to-end.

Io.Github.Imatza Rh/Mcp Zuul

Zuul CI — build failure analysis, log search, pipeline status, and job configuration

synalinks

Build neuro-symbolic LLM applications with Synalinks framework. Use when working with DataModel, Program, Generator, Module, training LLM pipelines, in-context learning, structured output, JSON operators, Branch/Decision control flow, FunctionCallingAgent, RAG/KAG, or Keras-like LLM workflows.

debug-deploy

Debug GitHub Actions workflow failures and Terraform errors. Use when deployment failed, Terraform state lock, CI/CD pipeline errors, or troubleshooting deploy.yml.

airflow

Manages Apache Airflow operations including listing, testing, running, and debugging DAGs, viewing task logs, checking connections and variables, and monitoring system health. Use when working with Airflow DAGs, pipelines, workflows, or tasks, or when the user mentions testing dags, running pipelines, debugging workflows, dag failures, task errors, dag status, pipeline status, list dags, show connections, check variables, or airflow health.

act-local-ci

Run GitHub Actions workflows locally before pushing to validate CI/CD pipelines, catch errors early, and reduce iteration time.

agentic-data-science-competition

AI Agent-driven Kaggle competition workflow. Learn from real competition experience: score stabilization patterns, submission troubleshooting, kernel workflows, GPU task delegation, and the spec-driven development approach that achieved top leaderboard positions. Use when: working on any Kaggle competition, analyzing submission failures, setting up automated pipelines, or replicating top notebook solutions.

beast

Alias for beast-forge. Use /beast-forge for the full pipeline.

ros2-engineering-skills

TRIGGER when the user: writes or reviews ROS 2 nodes (rclcpp/rclpy), creates packages (colcon/ament), edits launch files (.launch.py), configures QoS or DDS, writes URDF/xacro, implements ros2_control hardware interfaces or controllers, sets up Nav2/MoveIt 2 pipelines, processes sensor data (camera/LiDAR/PCL), works with Gazebo/Isaac Sim, configures SROS2 security, develops micro-ROS firmware, manages multi-robot fleets (Open-RMF), debugs with ros2 doctor/rosbag2, deploys via Docker/cross-compilation, or migrates from ROS 1. DO NOT TRIGGER for general C++/Python questions unrelated to ROS 2, non-robotics middleware, or web/mobile development tasks.

Academic Paper Skill

Generate publication-ready academic research papers as professionally formatted PDFs. This skill covers the full pipeline: gathering inputs → writing/rewriting → figure creation → PDF formatting with reportlab → submission preparation for SSRN/arXiv.

turborepo

Turborepo monorepo build system guidance. Triggers on: turbo.json, task pipelines, dependsOn, caching, remote cache, the "turbo" CLI, --filter, --affected, CI optimization, environment variables, internal packages, monorepo structure/best practices, and boundaries. Use when user: configures tasks/workflows/pipelines, creates packages, sets up monorepo, shares code between apps, runs changed/affected packages, debugs cache, or has apps/packages directories.

ql-brainstorm

Part of the quantum-loop autonomous development pipeline (brainstorm → spec → plan → execute → review → verify). Deep Socratic exploration of a feature idea before implementation. Asks questions one at a time, proposes 2-3 alternative approaches with trade-offs, presents design section-by-section for approval, and saves an approved design document. Use when starting a new feature, exploring an idea, or before writing a spec. Triggers on: brainstorm, explore idea, design this, think through, ql-brainstorm.

3d-modeling

Expert 3D modeling specialist with deep knowledge of topology, UV mapping, game-ready and film-ready pipelines, DCC tool workflows (Blender, Maya, ZBrush, 3ds Max, Houdini), retopology, LOD systems, and export pipelines. This skill represents years of production experience distilled into actionable guidance. Use when "3d model, 3d modeling, mesh topology, uv unwrap, uv mapping, retopology, retopo, low poly, high poly, subdivision, subdiv, edge flow, edge loops, polygon modeling, box modeling, hard surface, organic modeling, sculpting, zbrush, blender modeling, maya modeling, 3ds max, LOD, level of detail, game ready mesh, film ready, baking normals, high to low, fbx export, gltf export, texel density, 3d, modeling, topology, uv, game-dev, vfx, blender, maya, zbrush, retopology, lod, hard-surface, organic, sculpting" mentioned.

opc

OPC — One Person Company. Digraph-based task pipeline with independent multi-role evaluation. Builds, reviews, analyzes, and brainstorms with specialist agents. Every path ends with evaluation. /opc <task>, /opc -i <task>, /opc <role> [role...]

ENCODE Toolkit

20 MCP tools + 48 skills for ENCODE Project genomics — search, download, pipelines

Bug Fix Pipeline Orchestrator

Run the full bug fix pipeline end-to-end. Chains individual stage skills in the order defined by `bugfix_pipeline` in `~/.vcp/dev-buddy.json`. All phases append to a single plan file.

ACE — Learn from Traces

This skill ships `learn_from_traces.py`, a script that reads OpenClaw session transcripts, feeds them through the ACE learning pipeline, and writes an updated skillbook to disk.

add-azuredevops

Adds Azure DevOps connector to a Power Apps code app. Use when querying work items, creating bugs, managing pipelines, or making ADO API calls.

Speakmanai

Multi-agent AI pipeline that generates professional Solution Architecture Documents.

Pre-Commit Code Verification

Automated verification pipeline before code lands. Static scans, baseline-aware quality gates, an independent reviewer subagent, and an auto-fix loop.

agent-teams

Claude Code Agent Teams - default team-based development with strict TDD pipeline enforcement

Unity Agent Harness for Claude Code — auto-compile, test pipelines, cross-model review, out of the box.

Compare the current branch against develop and generate two review documents: architecture change diagram + PR review checklist.

ci-debugging

Systematic CI/CD failure diagnosis. Load when debugging CI failures, build issues, or test pipeline problems.