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gesh75gesh75/claude-skills/continuous-agent-loop/SKILL.md

continuous-agent-loop

Skill0 starsChanged 5 months agoLicence not identifiedView on GitHub

Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.

18 other projects use a version of this, 15 of them edited.

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Projects with it also use safety-guard, pytorch-patterns and 9 more.

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  • loulanyueSkill

    safety-guard

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  • Yog-SothoSkill

    pytorch-patterns

    PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading. Always activate when the user is writing PyTorch models or training scripts, reviewing deep learning code, debugging training loops or data pipelines, optimizing GPU memory or training speed, setting up reproducible experiments, implementing transfer learning or fine-tuning, or asks anything about nn.Module, DataLoader, autograd, AMP, or torch.compile.

    Also in 4 projects that use this

  • loulanyueSkill

    nuxt4-patterns

    Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.

    Also in 3 projects that use this

  • RojiosSkill

    security-bounty-hunter

    Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings.

    Also in 3 projects that use this

  • GSA-TTSSkill

    architecture-decision-records

    Load when a user wants architecture decision records (ADRs) drafted from requirements or a design discussion, asks which decisions need an ADR, or wants an ADR draft reviewed for one-sided trade-offs, weak alternatives or missing requirement links. Not for setting up a project's whole documentation system (project-documentation-system).

    Also in 7 projects that use this

  • get-proofpilotSkill

    context-budget

    Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.

    Also in 7 projects that use this

  • +3 more from loulanyue

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