Plugins
2 plugins@owl-listener
Interaction Design
Interaction design skills: micro-interactions, animation principles, state machines, gesture patterns, error handling UX, and feedback patterns.
16 skills · plugin
curated
User Segmentation Analysis
Install this pack to analyze diverse user feedback and identify at least 3 distinct behavioral and needs-based user segments.
4 skills · plugin
Results for “feedback”
10 skills
affaan-m loop-design-check
Designs and reviews feedback loops for AI agents to ensure goals are machine-decidable, loops are damped, and human judgment is preserved.
226k
affaan-m gan-style-harness
Uses a multi-agent generator-evaluator feedback loop to build high-quality applications from a single prompt, inspired by GANs and Anthropic's harness design.
226k
antigravity loopy
Discover, compare, audit, repair, adapt, craft, run, debrief, and publish repeatable AI-agent loops for engineering workflows.
42.4k · bundle
auto-skiller review
Runs independent AI CLI reviewers over phase plans and merges their feedback into a REVIEWS.md file.
1 · bundle
More results
alirezarezvani loop-library
Discover, audit, repair, adapt, and design bounded, verifiable AI-agent loops with explicit triggers, actions, stopping conditions, and guardrails.
20.4k · bundle
gabrielmoreira loopy
Discovers, finds, audits, repairs, adapts, crafts, runs, debriefs, saves, and prepares repeatable AI-agent loops for publication, treating loops as bounded feedback systems.
17 · bundle
diegosouzapw learn
Discovers, installs, and manages AI agent skills from agentskill.sh, including searching, installing mid-session, scanning for security issues, and providing feedback.
54 · bundle
ecnu-icalk auto-skill-lifecycle-handling
Automates the full lifecycle of agent skills: extracts reusable constraints from user feedback, merges preferences with version bumps, and retrieves relevant skills for new tasks.
559
mukul975 orchestrating-llm-attacks-with-pyrit
Automate multi-turn adversarial conversations against LLM agents using Microsoft PyRIT, including Crescendo and Tree-of-Attacks-with-Pruning (TAP) attack chains with scorer feedback loops.
24.6k · bundle
affaan-m data-scraper-agent
Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions.
226k