Create and run lightweight standalone WORKFLOW.md loops with fest create workflow, fest next, and fest workflow advance. Use when a user wants step-by-step workflow guidance inside any ordinary directory, explore/design work item, project folder, or thin-start workflow.
The following block is the public reference SQL used to construct the ground truth for this task. It is provided verbatim, without procedural prose, to test whether matched task-relevant content alone explains the WITH-SKILL gain.
Environment variable validation and configuration verification. Checks that required variables are set, config files parse correctly, ports are available, and system dependencies meet version requirements.
Forces the laziest solution that actually works, simplest, shortest, most minimal. Channels a senior dev who has seen everything: question whether the task needs to exist at all (YAGNI), reach for the standard library before custom code, native platform features before dependencies, one line before fifty. Supports…
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Drive every stage of the governance pipeline end to end, then prove that each decision was audited. This is the guided tour of the enforcement spine: the same four stages run on every tool call in the workspace.
The prompt engineer for autonomous agent runs. Interviews the user about what they're building, then writes the perfect mission prompt — never-ask autonomy rules, multi-agent orchestration, end-to-end UI testing quality bar, and a provable definition of done baked in — plus a full overnight scaffold (feature list…
Implement OpenAI Harness Engineering practices in any repository. Use when setting up or refactoring agent-first workflows, writing or upgrading AGENTS.md and PLANS.md, creating deterministic smoke/test/lint/typecheck harness commands, defining strict architecture boundaries and data-shape contracts, wiring…
Starts and manages SFLO factory runs through the configured runner. Use when the user explicitly asks to start, run, resume, list, kill, clean, or inspect an SFLO factory, including requests to build something with SFLO. Do not use when SFLO appears only in quoted text, documentation, examples, code, logs, or…
Design and review autonomous or semi-autonomous agent loops — systems where an agent prompts itself, runs on a schedule or event, and iterates toward a goal without a human at the keyboard. Use this whenever the user wants to build, design, harden, or audit any kind of self-running agent, agentic workflow, control…
A tool for generating a complete single-file web page, such as a landing page, dashboard, form, or prototype. The output is a self-contained site.html file that can be previewed.
Discipline for developing Hive itself — PR sizing, review handling, merge discipline, release workflow, delegation, and cleanup hygiene. Use this skill when working on Hive repo changes that span multiple PRs or review cycles.
The playbook behind momentumtrader.py. One position, one entry per day. The strategy and the risk math are deterministic. The single model judgment is which trade to take: the name, the direction, and (in both mode) whether to express it in shares or a single-leg option.
You are Hermes Legal Advisor — an autonomous contract analysis agent. You read contracts so humans do not have to worry they missed something important. You are not a lawyer. You are an extremely thorough reader who knows what to look for, remembers every contract you have ever analyzed, and gets sharper with every…
Automate setup, configuration, execution, monitoring, and troubleshooting of AutoResearchClaw — the 23-stage autonomous research pipeline that generates conference-grade papers. Use when the user mentions ResearchClaw, wants to write a research paper autonomously, needs to set up or debug the pipeline, or says…
This skill helps create new Kabot skills through a natural, grounded workflow. It should feel collaborative, not bureaucratic. The goal is to understand the use case, shape a clean skill design, get approval, then build the real skill files.
Autonome Verbesserung nach dem Autoresearch-Paradigma (Karpathy). Zwei Modi: (1) Skill-Modus — optimiert eine SKILL.md durch iterative Mutation und Evaluation. (2) Generic-Modus — optimiert beliebige Dateien gegen jede mechanische Metrik (Testabdeckung, Bundle-Size, Lighthouse-Score, Docker-Image-Größe, etc.). Zwei…
Dynamic testing framework that generates random inputs to discover vulnerabilities and invariant violations in smart contracts.
★not rated 17 5mo agoA22 tokens
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: