Iterative code review using multiple independent subagent reviews. Use when user asks to review PR, code, or mentions "review", "审查", "检查代码", "代码质量". Assists...

Systematically improve code through disciplined analysis, targeted mutations, verification, scoring, and logging to iteratively enhance quality and design.

LoongFlow brings evolutionary multi-agent optimization to your coding agent harness. Drop it into Codex, Claude Code, Cursor or any OpenClaw agent — then wat...

Indexed by skills.sh from alinaqi/claude-bootstrap

Indexed by skills.sh from affaan-m/ecc

Indexed by skills.sh from alwaysmeticulous/skills

Iterative Python via live Jupyter kernel (hamelnb).

Help agents ship usable, stable solutions faster for non-technical but goal-clear users, then improve them through real-world usage instead of over-engineeri...

Software Development Step Maker: Guides users through the software development process, providing step-by-step instructions and best practices for requirements gathering, design, coding, testing, depl

Software Development for Dummies: Guides beginners through the software development process, providing step-by-step instructions and best practices for requirements gathering, design, coding, testing,

Persistent browser and Electron interaction through `js_repl` for fast iterative UI debugging.

Conduct deep multi-source research on any topic with iterative analysis and synthesis. Produces comprehensive research reports with citations.

Use when a task needs Alibaba Cloud Model Studio Qwen Deep Research models to plan multi-step investigation, run iterative web research, and produce structur...

Guide someone through optimizing anything using iterative self-improvement loops, OR run autonomous optimization loops with binary eval scoring. Systematical...

Automatically improve OpenClaw skills, prompts, or articles through iterative mutation-testing loops. Inspired by Karpathy's autoresearch. Use when user says...

Conducts autonomous, iterative research by defining goals, generating hypotheses, verifying results, modifying approaches, and repeating until criteria are met.

Optimize skills, prompts, articles, workflows, or systems via single-step iterative edits with testing and scoring to keep improvements and discard regressions.

Claw Deep Research — 自动迭代深度研究。Turn your AI agent into a real research assistant with multi-phase iterative search, contradiction mining, cross-verification,...

AI writing assistant using Reflection + Tree of Thoughts for high-quality content creation. Generates articles, blogs, and documentation with iterative refin...

Conduct exhaustive multi-source investigation with methodology tracking, source evaluation, and iterative depth.

Comprehensive research framework that combines web search, content analysis, source verification, and iterative investigation to conduct in-depth research on any topic. Use when you need to perform thorough research with multiple sources, cross-validation, and structured findi…

Conduct iterative, hypothesis-driven deep research combining web, academic, and contradiction analysis to produce scientific Markdown reports with sourced ev...

Use structured ReAct-Plan framework for systematic, iterative, and reflective deep analysis to thoroughly break down complex problems or requests.

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

Deep co-authoring workflow—context gathering, iterative drafting and structure, reader testing, and quality gates. Use when writing documentation, proposals,...

An iterative, high-rigor presentation generation skill leveraging Marp and the Emergence Render API for Agents.

A general-purpose feature development planning skill. Used to generate executable, verifiable, and iterative development plans before coding, and to automati...

Locate anything with progressive search expansion, multi-source validation, and iterative refinement until found.

Locate anything with progressive search expansion, multi-source validation, and iterative refinement until found.

Runs autonomous iterative delivery loops for coding tasks using plan -> execute -> check -> review -> commit. Use when the user asks for hepha mode, autopilo...

Systematic deep research methodology for ANY domain. 7-step workflow with credibility scoring, pattern recognition, adversarial analysis, and iterative deepe...

Initialize and manage Lattice organizations — a file-based operating system for AI agent teams that enables stable, long-running iterative development throug...

Performs multi-cycle, iterative deep research on complex topics using a local LDR service, providing detailed reports with citations and source tracking.

Generate multi-size SVG logos from natural-language product briefs, following Simple Icons design rules; runs an iterative generate → visual-check → optimize...

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 …

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...

Automated step-by-step proof generation and review for user-submitted theorems with iterative refinement until acceptance or retry limit reached.

AI Memory System with Iterative Compression & Lineage Tracking - Hermes Agent Inspired

Recurrent-depth reasoning via iterative refinement. Use for complex analysis, multi-hop problems, design decisions, strategic planning — any question where s...

Iterative network topology discovery using CDP/LLDP neighbor protocols, ARP/MAC table correlation, and routing table analysis. Multi-vendor coverage for Cisc...

Persistent browser and Electron interaction through `js_repl` for fast iterative UI debugging.

Compress prompt files locally before iterative AI loops to reduce input tokens, with backup and undo support, for Ralph-style loops and token-billed providers.

Runs autonomous iterative AI loops for requirements, planning, or building phases using structured prompts and fresh context per iteration.

A persistent habitat for autonomous agents focusing on stable memory, coordination, and iterative outcome optimization through collaborative pools.

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

Multi-round independent deep thinking. Each round produces complete, final-quality solutions. Non-iterative, no TODOs, no angle constraints—pure divergent th...

Create professional App Store and Google Play screenshots with automatic sizing, device frames, marketing copy, and iterative visual learning.

Design, test, review, and maintain agent skills for OpenClaw systems using multi-agent iterative refinement. Orchestrates Designer, Reviewer, and Tester suba...

Deep Coding is a multi-agent development system designed for complex software projects. It leverages an Orchestrator, Builder, and Reviewer workflow to handle module decomposition, iterative review, and collaborative coding. Activate when users request deep coding, multi-agent…

Test-Driven Revolution implements an AI-driven iterative code evolution system with automated coding, testing, auditing, and controlled task workflows.

Conduct exhaustive multi-source investigation with methodology tracking, source evaluation, and iterative depth.

Automatically improve agent guidance through iterative testing and scoring. Use when you want to optimize prompts, AGENTS.md entries, or skill definitions us...

Auto-generate government startup business plans, infrastructure diagrams, and investor pitch decks with version-controlled iterative refinement and detailed...

Delegate coding tasks to Claude Code CLI via background process. Use when: building features, reviewing PRs, refactoring codebases, or iterative coding that...

Use this skill when the user is measuring the host or DPU-CPU control-plane rate of a DOCA Flow pipeline with doca_flow_perf — picking a JSON policy from configs/, choosing the DPDK or DOCA backend, running the single-iteration smoke then the iterative eval loop, interpreting …

Iterative prompt optimizer for complex tasks. Strictly implements ACON's two-stage iterative optimization + APE automatic prompt engineering. Only triggers w...

Use this skill when the user is measuring the host or DPU-CPU control-plane rate of a DOCA Flow pipeline with doca_flow_perf — picking a JSON policy from configs/, choosing the DPDK or DOCA backend, running the single-iteration smoke then the iterative eval loop, interpreting …

Discover and run Holoscan Sensor Bridge example applications on a connected devkit. Filters available apps by the user's platform, HSB software version, board type, and sensors. Supports timed execution, failure analysis, code-edit suggestions, and iterative re-runs.

Standard single-step train/eval/export workflow for any TAO model. Use when training a TAO model on a dataset without iterative data augmentation, AutoML, or DEFT loops. Trigger phrases include "single train run", "train then evaluate then export", "plain TAO training", "norma…