Loop engineering CLI v0.4.2 with dev/acceptance loops and human gates.

Support engineering understanding from DIY projects to professional practice and research.

Use when an AI coding agent needs bounded development loops, persistent project-local Docs/ state, context budgeting, environment escalation rules, safe stop...

Indexed by skills.sh from alirezarezvani/claude-skills

End-of-session workflow for shipping changes, consolidating memory, applying self-improvements, and preparing publishable outputs with safety gates.

Design and run iterative generate→critique→revise loops optimized for Claude Opus 4.8, with thinking-as-critic, cost controls, and model routing.

A self-improving feedback loop skill that works fully standalone OR integrates with intent-engineering and dark-factory when available. Observes any system o...

A modular 5-step engineering verification loop ensuring reliable execution and output validation for complex tasks like coding and planning.

Maya Loop provides a six-step AI-assisted engineering framework with strict checks and a five-ring autonomous operation system for reliable multi-agent devel...

Unifies intent-engineering, execution, and feedback into an autonomous loop that detects drift, learns patterns, adjusts specs, transfers skills, and verifie...

Bootstrap or upgrade a software repository for agent-first engineering. Use when a user wants to improve project-wide development discipline around `AGENTS.m...

Engineering Manager Intelligence: track team performance, engineer contributions, and project health across GitLab/GitHub + Jira/GitHub Issues. Use when aske...

Complete engineering management system — team building, 1:1s, performance, hiring, architecture decisions, incident management, and scaling. From IC-to-manag...

SharpAgent Engineering Lifecycle — 6-phase engineering pipeline: Spec → Plan → Build → Verify → Review → Ship. Embedding five-factor review, calibration fram...

Add self-sustaining autonomous loop capability to an OpenClaw agent. The agent keeps working after each reply until a stop file is placed. Use when: (1) crea...

Two-agent iterative vibe-coding loop for OpenClaw. Use when the user wants one sub-agent to generate/build/code an app or artifact and a second analyst agent...

Lightweight anti-infinite-loop guard for LLM agents — healing > kill, predictive, zero-dep, 9 layers of protection. Standalone package (stdlib + numpy option...

Lightweight anti-infinite-loop guard for LLM agents — healing > kill, predictive, zero-dep, 9 layers of protection. Standalone package (stdlib + numpy option...

Transforms vague prompts into clear, structured instructions by specifying goals, context, output, key info, and exclusions for precise results.

Design and operate scalable data pipelines and architectures using best-fit patterns, tools, and modeling methodologies without external dependencies.

Convert vague instructions into clear AI prompts using structures, techniques, and templates for reliable, precise, and measurable outputs.

Detects potential infinite loops and runaway token usage risks in Claw AI workflows by analyzing retry, recursion, and termination conditions.

Pause your agent for human approval before high-risk actions.

Guide for deploying 3DGS from research to production: 10 industry verticals, engineering stack, GIS toolchain solutions, cross-platform deployment, and commo...

Engineering operating model for teams shipping with AI-assisted code generation. Process shifts, architecture requirements, code review and testing standards...

Agent Loyalty & Incentives Engineering. Build machine-readable loyalty programs, rewards APIs, and incentive protocols that AI shopping agents can discover,...

OpenClaw wrapper for Muratcan Koylan's Agent Skills for Context Engineering. 13 skills covering context optimization, multi-agent patterns, memory systems, t...

A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, o...

Generates high-signal AI Engineering / LLM Engineer interview questions by topic, level, and role. Covers LLM fundamentals, prompt engineering, RAG, vector D...

Antibody engineering workflow combining ANARCI, BioPhi, IgFold, FoldX, and Rosetta tools through SciMiner.

Rigorous workflow for software engineering projects (design docs, code, deployment). Use when building a multi-module system, API service, or infrastructure...

CTO & Engineering Excellence Playbook. Use for: architecture decisions, tech stack selection, database choices, API design, DevOps/CI-CD, code quality, team...

Comprehensive context engineering guidance for AI agent systems. Routes to specialized sub-skills for production agent work. Use when the user asks to: "opti...

Build or initialize team-style project context directories for context engineering. Use when the user says “构建/初始化项目上下文”, “针对该项目构建上下文”, **or** in English phr...

An interactive data engineering interview coach that drills senior-level data engineering knowledge through a coaching-style mock interview — one question at...

Database Engineering Mastery covers schema design, indexing, query optimization, and migration for PostgreSQL, MySQL, SQLite, supporting OLTP/OLAP workloads.

Orchestrate iterative design and frontend engineering work through research, planning, sub-agent execution, and validation loops. Use when a visual/UI task r...

Production-grade AI coding discipline. Prevents the top 4 AI coding sins: acting without thinking, over-engineering, collateral damage, and vague execution....

Build an engineering hiring rubric and technical interview scorecard for evaluating software engineers at a specific level. Use when asked to create an inter...

Write a weekly engineering status report for a team, service, or initiative. Use when asked to write a team update, weekly engineering report, sprint status...

Build free tools to drive organic search traffic and convert visitors into customers — the 'Engineering as Marketing' growth strategy. Use when the user want...

Build single-file HTML engineering tools where the calculation interface IS the client deliverable (input panel on the left, print-ready paginated report on the right). Use this skill whenever the user asks for an engineering calculator, calc tool, letter generator, calculatio…

Use whenever the user wants to find, shortlist, vet, or enrich US engineering firms — civil, structural, MEP, mechanical, electrical, geotechnical, transport...

GPTImage2 E-commerce Image Generation Prompt Engineering

Use when building features, fixing complex bugs, or doing major refactoring. Transforms your agent into a structured engineering team: Plan → Build (via ACP)...

Provides end-to-end methodology for defining, engineering, experimenting, deploying, and operating production ML/AI systems at scale.

Use this skill when a restaurant chef, GM, multi-unit operator, or culinary director needs a Kasavana-Smith menu-engineering analysis of one menu over a defi...

NanoBanana E-commerce Image Generation Prompt Engineering

Complete observability & reliability engineering system. Use when designing monitoring, implementing structured logging, setting up distributed tracing, buil...

PRE Engineering — Initialize a PRE (Plan-Review-Execute) multi-agent collaborative project. TRIGGER when: user wants to initialize a multi-agent collaborativ...

Complete performance engineering system — profiling, optimization, load testing, capacity planning, and performance culture. Use when diagnosing slow applica...

Comprehensive prompt engineering framework for designing, optimizing, and iterating LLM prompts. This skill should be used when users request prompt creation...

Advanced expert in prompt engineering, custom instructions design, and prompt optimization for AI agents

AI-powered prompt engineering workbench — write, test, iterate, and optimize prompts for any LLM application. Covers the full prompt lifecycle: drafting with...

Enhanced prompt engineering with model-specific optimization, advanced techniques, prompt templates, and evaluation metrics. Covers LLMs, image generators, v...

Seedance2 Video Generation Prompt Engineering — multimodal reference system, cinematic camera language, audio-video sync, and scene-by-scene prompt patterns...

A Prompt Engineering assistant based on Gen AI Space's 16-technique framework. Helps with two things: creating ready-to-use prompts, and building high-qualit...

Engineering discipline for AI coding agents. Apply when writing, refactoring, or reviewing code that will be maintained. Not a tutorial on SOLID/DRY (you alr...

AI-powered engineering knowledge management. Search architecture docs, API specs, incident reports, runbooks, and infrastructure documentation with structure...

Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness whil...

EN: Extract structured information from engineering drawings — mechanical 2D drafts, P&IDs, electrical schematics, construction architectural/structural draw...

Evolve an existing repository toward Harness Engineering by making it more legible to agents, moving critical knowledge into repo-local artifacts, adding pre...

Manages the full engineering workflow by clarifying requests, discovering code, making minimal changes, validating, and preparing publish-ready artifacts.

Comprehensive ROS 2 engineering guide covering workspace setup, node architecture, communication patterns (topics/services/actions with QoS), lifecycle and c...

Book-aligned enterprise software requirements engineering based on Wiegers & Beatty, Software Requirements, 3rd Edition. Use when Codex must act like a profe...

Indexed by skills.sh from muratcankoylan/agent-skills-for-context-engineering

Indexed by skills.sh from broomva/harness-engineering-skill

An end-to-end self-improvement loop that automatically detects agent failures, classifies them, tracks recurrence, auto-generates rules, and promotes them to...

Lightweight self-improvement loop for AI agents. Capture errors, corrections, and discoveries in a fast one-line format, dedup them, queue recurring or criti...

Enhanced agentic loop with planning, parallel execution, confidence gates, semantic error recovery, and observable state machine. Includes Mode dashboard UI...

Universal discipline for any LM-driven loop — agent retries, plan-act-observe, multi-agent handoffs, optimiser passes, test-fix cycles. Encodes the one rule...

Anti-Infinite-Loop Guard — Prevents agents from getting stuck in repetitive execution cycles. Use when: (1) detecting repeated actions, (2) enforcing termina...

Challenge Loop — adversarial hardening for judgment-containing outputs. Two modes: inline self-refutation (zero latency) and independent challenger subagent....

Generate daily high-signal charisma/engagement insights with a self-improving novelty loop. Use when sending recurring tips on charisma, body language, orati...

3-Agent competitive loop with Planner/Generator/Evaluator and Sprint Contract

Governed loop with roadmap, budget, ledger, and understanding debt.

Run one controlled daily project loop for a single active project. Use on: scheduled daily runs, planner-initiated project steps, resuming a project after cl...

Launch non-blocking interactive Claude Code tasks for slash-only plugins like ralph-loop. Use when a task needs interactive slash commands and completion cal...

Enforce a Human-in-the-Right-Loop (HITRL) lifecycle for remote agents. Use this skill when the user wants structured oversight over an agent task: plan appro...

Feedback Loop - Collect, analyze, and act on user feedback for continuous agent improvement

Forge 🔨 — Repair-Inspect loop orchestrator. Automated code repair with independent inspection, dependency-aware parallel execution, protected file guardrail...

Extract the actual core loop from a game, feature set, or pitch based on repeated player actions, feedback, rewards, and renewed motivation. Use when a team...

Audit a game, feature, encounter structure, roguelite run, puzzle sequence, onboarding path, or progression gate through the lens of its failure loop: what h...

Enables OpenClaw agents to autonomously execute prioritized tasks on a heartbeat loop with logging, auditing, error handling, and workspace hygiene.

Self-improving learning loop inspired by Hermes Agent. Automatically extracts successful workflows, creates skills, and persists knowledge across sessions.

Skill for infinite research and debugg loop, with token watch, ability to kow when its finished.

Use when the user explicitly asks to run LYGO Joy Loop in a local lygo-protocol-stack checkout (joy-loop-pulse, joy_loop_protocol.py, JoyLoopRegistry, consen...

Design the engineered loop for a medium/large (semi-)autonomous AI-coding task by decomposing it into gated sub-loops, emitted as a runnable .loop/ runbook....

Design an engineered gated loop for a medium/large (semi-)autonomous AI-coding task executed with the Codex CLI (single-agent, `codex exec`), emitted as a ru...

Integrate Loop Engine with OpenClaw to enforce human approval, AI confidence checks, evidence capture, and immutable audit trails on workflow steps.

Fully automated iterative polishing: start project → full-stack integration verification → browser automation → scoring → auto-fix → loop until perfect → generate report. Invoke ONLY when user explicitly asks for loop polish, full verification with auto-fix loop, or automated …

Loop Returns (loopreturns.com). Use this skill for ANY Loop Returns request — searching and reading data. Whenever a task involves Loop Returns, use this ski...

Loop Stability Check — Workflow Stability Skill for Detecting Loops, Drift, and Retry Waste. Use it when the user needs a disciplined protocol and fixed outp...

Use this when the user wants you to BUILD a self-running agent loop — take a recurring chore and turn it into something that fires on its own (a schedule or...

Post short status notes from your agent to the mAICenter Agent Loop — a shared social timeline where AI agents and humans follow, like, comment, and reply. G...

Deterministic external-memory execution loop using rules/goal/plan/progress/notes/lessons with strict preflight, one-step execution, and measurable lesson qu...

Generate copy-paste bash scripts for Ralph Wiggum/AI agent loops (Codex, Claude Code, OpenCode, Goose). Use when asked for a "Ralph loop", "Ralph Wiggum loop", or an AI loop to plan/build code via PROMPT.md + AGENTS.md, SPECS, and IMPLEMENTATION_PLAN.md, including PLANNING vs …

Run a bounded maintainer loop for local OpenClaw changes. Use when a task needs diagnosis, a small candidate change, validation, and an explicit keep or reve...

Human-in-the-loop: A free, extensible framework for intercepting tool calls via the OmniPersona mobile app.