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

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

Provides tools for implementing feedback loops to fine-tune LLM agents using user feedback for continuous personalization and improvement, including training...

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...

Activate when: user says "we keep overshooting/undershooting", "the cure is causing the disease", "we're stuck in a loop", "why does this keep happening?", "...

Collect, analyze, and act on customer feedback to improve your product and business. Use when building feedback systems, running customer interviews, analyzing feature requests, measuring satisfaction (NPS, CSAT), or closing the feedback loop. Covers feedback collection method…

Feedback Controller — Closed-Loop Agent Skill for Correcting Execution Drift. Use it when the user needs a disciplined protocol and fixed output contract for...

Use when the user asks to "triage launch feedback", "cluster reviews, comments, and board posts into themes", or "set up a you asked, we shipped loop"; produ...

Human-in-the-loop MCP feedback collector with task queue. Pauses to collect human input via browser UI before continuing. Use when completing tasks, encounte...

Indexed by skills.sh from alirezarezvani/claude-skills

Collects and processes user feedback on task completion. Use after important tasks to ask if the result was satisfactory.

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...

Autonomous PR review loop with Greptile. Use when an agent creates a PR and needs to autonomously handle code review feedback — reading Greptile reviews, fixing issues, pushing fixes, re-triggering review, and auto-merging when score is 4/5+. Trigger on commands like "pr revie…

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

Per-agent feedback loop for OpenClaw — captures corrections/errors/features, detects patterns per agent workspace, notifies via per-agent channel bot, and ex...

Orchestrate growth loops across the skill portfolio by connecting usage, feedback, improvement, and adoption into self-reinforcing cycles. Use when designing...

Autonomous structured learning for mastering complex topics through cron-based 5-session feedback loops. Use when user wants to deeply learn a subject (e.g.,...

Design a 360-degree feedback survey or write a structured 360 feedback report. Use when asked to build a 360 feedback process, write 360 feedback for a colle...

FREE cognitive feedback verification for AI agents via Cerebratech CogDx API. Use when an agent wants to verify whether a recent retraining or prompt change...

Customer feedback digest — collect, categorize, and summarize reviews, survey responses, and support tickets. Weekly cron or on-demand.

Execute real-world human work and social engagement (feedback, opinions, data labelling, reviews,small tasks), social tasks (likes, followers, reposts, raids...

Request feedback or assistance from Eureka, the primary AI agent

Detect requests for human product testing, UX critique, beta feedback, or role- and industry-specific validation from a qualified professional. Apply as soon...

Zero-LLM feedback learning system for OpenClaw agents. Detects user feedback (emoji reactions, text signals like "переделай"/"круто"), logs events, discovers...

Zero-LLM feedback learning system for OpenClaw agents. Detects user feedback (emoji reactions, text signals like "переделай"/"круто"), logs events, tracks po...

Helps interpret vague or clear feedback to identify issues, plan practical revisions, ask clarifications, and produce safer, clearer revised drafts without a...

Convert customer feedback, review themes, and complaint clusters into product improvement priorities with clear rationale and urgency ranking.

Fetch unresolved review comments from a PR and evaluate with receive-feedback skill

Audit the project's audio layer as UX feedback: UI sounds, success/failure signals, danger cues, layering, and semantic sound priorities.

Audit interaction feedback quality: input acknowledgment, hit/collect/reward/failure signaling, danger telegraphing, and state-transition clarity.

Turn a vague concern into specific, kind, actionable feedback. Use when asked to give feedback, write a feedback note, prepare to tell someone something hard...

Triage user-feedback issues in Linear, especially FB team / 用户反馈 workflows. Use when asked to query Linear issues, list recent complaints, find duplicate fee...

Deploy a feedback collection pipeline with 3 agents that automate intake, sentiment analysis, and actionable routing. Use this skill when: 1. User wants to s...

Send feedback to the Ravi team — bugs, feature requests, praise, frustrations, suggestions. Do NOT use for general email sending (use ravi-email-send).

Process external code review feedback with technical rigor. Use when receiving feedback from another LLM, human reviewer, or CI tool. Verifies claims before...

Create a Google Form for feedback and share it via Gmail.

Interact with Reveal feedback infrastructure to manage products, create review tasks, read AI-analyzed user feedback, get sentiment insights, view submission...

Schema for tracking code review outcomes to enable feedback-driven skill improvement. Use when logging review results or analyzing review quality.

Parse Claude Code session JSONL to extract implicit user feedback signals. Detects skill invocations (tool_use blocks with name="Skill" or /slash-commands),...

Craft constructive feedback for colleagues, employees, or service experiences. Perfect for managers, team leads, and anyone who needs to give feedback profes...

When the user wants to create, optimize, or audit a feedback or roadmap page. Also use when the user mentions "feedback page," "roadmap," "feature requests,"...

Post-development full-stack verification skill. Automatically triggered after Agent completes a development task. Executes production-level validation (unit...

Lightweight self-supervision that piggybacks on your existing memory system. Adds a simple rubric to SOUL.md and a daily review cron job — no new infrastructure, no parallel systems. Your agent reviews its own day in ~200 tokens, writes findings to memory where they compound n…

Using fixed cameras in a smart greenhouse to analyze plant morphology in real time (e.g., leaf wilting angle, stem uprightness, leaf color changes) combined...

Execute Karpathy LLM queries by searching memories via M-Flow, formatting results as wiki entries, and saving them for later compilation.

Agent memory and learning system. Logs actions/failures, detects patterns, proposes skill improvements via GitHub PRs. Human approval required.

Respond to review comments on a PR after evaluation and fixes

Indexed by skills.sh from refoundai/lenny-skills

Indexed by skills.sh from everyinc/compound-engineering-plugin

Indexed by skills.sh from everyinc/compound-engineering-plugin

Indexed by skills.sh from expo/skills

Indexed by skills.sh from dylantarre/animation-principles

Indexed by skills.sh from softaworks/agent-toolkit

Indexed by skills.sh from kostja94/marketing-skills

Indexed by skills.sh from owl-listener/designer-skills

Indexed by skills.sh from heygen-com/liveavatar-agent-skills

Indexed by skills.sh from nexu-io/open-design

Indexed by skills.sh from prisma/prisma-next

Indexed by skills.sh from googleworkspace/cli

Indexed by skills.sh from everyinc/compound-engineering-plugin

Indexed by skills.sh from dylantarre/animation-principles

Indexed by skills.sh from pmprompt/claude-plugin-product-management

Indexed by skills.sh from zenmux/skills

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...

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

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...

Lightweight experience-capture and behavior-hardening for Goat. Use when the user explicitly gives corrective feedback, says to remember or avoid something,...

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.

Complete executive coaching system — leadership assessment, 360° feedback, coaching engagements, leadership development plans, team effectiveness, executive...

A comprehensive AI agent skill for leaders at every level. Navigates difficult conversations, builds feedback culture, supports better decisions under pressu...

AI-powered system for creating structured, balanced performance reviews, self-assessments, 360° feedback, and calibration notes across review cycles.

Professional reviewer and critic. Trigger whenever the user wants structured feedback on anything: documents, plans, code, decisions, strategies, designs, pi...

Create conversational Pulses that replace forms, surveys, intake emails, feedback requests, NPS checks, user interviews, lead qualification, application form...

Complete Voice of Customer system — collect, analyze, and operationalize customer feedback at scale. Covers NPS/CSAT/CES measurement, customer interview meth...

Self-iteration and feedback learning engine for AI agent skills. Tracks usage logs, detects performance patterns, triggers skill updates, and proposes new sk...

Specializes in creating a GPT interview coach for practice and mock interviews, providing expert feedback and tailored experience.

Search Ashby ATS for a candidate by email or name, read their full profile (contact info, applications, tags, custom fields, notes), add a note, and submit structured interview feedback against an application — via Ashby's documented REST API.

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...

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

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...

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

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....