Plugins

1 plugin

Results for “loops”

17 skills
More results
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
muratcankoylan
Self Improvement Loops
Designs and governs recursive self-improvement loops where an agent mines its own failures and proposes edits to its own harness, prompts, or workflow, covering acceptance gates, diversity preservation, and the optimization ladder.
16.9k · bundle
antigravity
Loopy
Discover, compare, audit, repair, adapt, craft, run, debrief, and publish repeatable AI-agent loops for engineering workflows.
42.4k · bundle
lingxling
Loopy
Discover, find, compare, audit, repair, adapt, craft, run, debrief, and prepare repeatable AI-agent loops for publication. Use when a user asks to analyze code or coding threads for recurring work, find a published loop, interview them to turn a goal into a bounded loop, review a loop...
253 · bundle
antigravity
Goal Loop
Drafts structured goal-loop prompts for long-running agent work with verifiable stop conditions, validation commands, and documentation requirements.
42.4k
affaan-m
Continuous Agent Loop
Provides patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.
226k
k-dense-ai
Arbor
Run autonomous optimization loops that iteratively improve artifacts against evaluators using hypothesis tree refinement, without overfitting.
30.2k · bundle
github
Agentic Eval
Implement iterative evaluation and refinement loops for AI agent outputs, using self-critique, evaluator-optimizer patterns, and rubric-based scoring to improve quality.
36.2k
inference-sh
AI Automation Workflows
Build automated AI workflows combining multiple models and services for batch processing, scheduled tasks, event-driven pipelines, and agent loops using the inference.sh CLI.
584
nagarenegishi
Build Orchestration
Orchestrates a multi-agent build session, acting as manager to cut goals into units, spawn implementer and tester subagents, and run test-and-review loops with anti-thrash guardrails.
0
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