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AI EngineeringPython

SWE Loop

by gaasher

SWE Loop is an AI Engineering skill for Claude Code, published by gaasher in Agent-Loop-Skills.

166 stars19 forkson gaasher/Agent-Loop-SkillsAdded 2026/09/08+2% in starsRepository updated 2026/06/30
agent-skillsagentic-loopsagentic-workflowsai-agentsanthropicautoresearchclaudeclaude-codedata-analysisliterature-reviewllm-agentsmachine-learningml-autoresearchopen-sourceprompt-engineeringred-teamingscientific-writingskillssubagents
Install in seconds
Install SWE Loop
Copy SWE Loop into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/swe-loop ~/.claude/skills/swe-loop

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/gaasher/Agent-Loop-Skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
loops/swe-loop/SKILL.md in gaasher/Agent-Loop-Skills
Installs to
~/.claude/skills/swe-loop
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering3670 skills

What SWE Loop does

SWE Loop turns a coding prompt into implemented, tested changes by running a plan loop, then iterating Engineer and QA subagents until each task passes tests and quality checks. Use it for features, fixes, or refactors that need regression-safe delivery in a real repository.

SWE Loop is cataloged under AI Engineering on DirSkills. SWE Loop comes from a repository tagged agent-skills, agentic-loops, agentic-workflows, ai-agents and anthropic.

Frequently asked about SWE Loop

  • What else does gaasher publish alongside SWE Loop?

    SWE Loop is one of 25 skills that DirSkills catalogs from gaasher/Agent-Loop-Skills, the repository it ships in. Its siblings there include Alpha Evolve, Anomaly Investigation and Blue Team. Each one is a separate skill with its own page in this directory, installs the same way SWE Loop does, and is maintained by gaasher in that same repository. The rest of the collection is listed on the gaasher/Agent-Loop-Skills page.

  • How does SWE Loop compare to other AI Engineering skills?

    SWE Loop ranks #3353 by stars among the 3670 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of SWE Loop against them. Open each page to compare what they document and how they install.

More from gaasher/Agent-Loop-Skills

SWE Loop is one of 25 skills cataloged on DirSkills from gaasher/Agent-Loop-Skills.

See all 25 skills
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Anomaly Investigation

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Blue Team

Blue Team patches a target against a concrete set of failing cases, one root-cause class at a time, while checking that previously passing cases still pass. Use it for red-team failure catalogues or CI test failures when you want the fix loop to stop only when regressions are closed.
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Claim Verify Loop

Claim Verify Loop checks each discrete claim in a results draft against the underlying dataset, then stress-tests it for outliers, confounds, and subgroup effects. Use it before publishing when a data-backed draft needs adversarial verification and revision.
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Data Analysis Loop

Data Analysis Loop performs iterative exploratory analysis on a dataset, testing one hypothesis at a time and only keeping findings that reproduce with a meaningful effect size. Use it for open-ended discovery when every claim needs a computed number behind it.
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Dueling Autoresearch

Dueling Autoresearch runs two different approaches against the same metric in parallel and keeps a shared scoreboard. Use it when you want an analysis-first head-to-head between lanes such as classical versus learned methods.
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