continuous-agent-loop
Skill14 starsChanged 4 months agoNo licenceView on GitHub
自律智能体循环 — 无人值守持续开发循环/CI 驱动迭代/RFC 驱动多智能体 DAG 并行编排;智能体自主持续执行与自我纠正
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- loulanyue/awesome-claude-notes★ 27245% same
- Fmarzochi/EGC★ 6144% same
- gongyijie85/dsh-ecc★ 840% same
- get-proofpilot/claude-skills-catalog★ 145% same
- NISTALTALSON/essential-claude-skills★ 140% same
- SamuelNDCE/claude-super-skill-library★ 145% same
- TironFox/everything-claude-code★ 145% same
- davidanthonyn/claude-skills★ 045% same
- eugenezhangco-spec/athena★ 045% same
- gesh75/claude-skills★ 021% same
4 more not listed
Wrote their own version · 3
- jiten-singh-shahi/salesforce-claude-code★ 15same name
- junimnjw/everything-claude-code★ 1same name
- thanvish21/hcc-bundle★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects with it also use token-budget-advisor, safety-guard and 4 more.
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Exploration-labsSkilltoken-budget-advisor
Proactive token budget assessment and task chunking strategy. Use this skill when queries involve multiple large file uploads, requests for comprehensive multi-document analysis, complex multi-step workflows with heavy research (10+ tool calls), phrases like "complete analysis", "full audit", "thorough review", "deep dive", or tasks combining extensive research with large output artifacts. This skill helps assess token consumption risk early and recommend chunking strategies before beginning work.
Also in 5 projects that use this
loulanyueSkillsafety-guard
Also in 5 projects that use this
Yog-SothoSkillpytorch-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 5 projects that use this
loulanyueSkillnuxt4-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
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In this repository78 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- 00-four-principlesSkill
- 01-featureSkill
- 02-qualitySkill
- 03-refactorSkill
- 04-agent-codingSkill
- 05-knowledge-base-managerSkill
- 06-html-visualizeSkill
- 07-project-handoffSkill
- api-designSkill
- app-reverseSkill
- architecture-decision-recordsSkill
- ast-deobfuscationSkill
- batchSkill
- brainstormingSkill
- browser-qaSkill
- captcha-solverSkill
- claude-in-chromeSkill
- codebase-onboardingSkill
- code-tourSkill
- compressing-memorySkill
- context-budgetSkill
- data-scraper-agentSkill
- debugSkill
- deep-researchSkill
- deployment-patternsSkill
- design-systemSkill
- desktop-client-reverseSkill
- dispatching-parallel-agentsSkill
- docker-patternsSkill
- e2e-testingSkill
- env-patcherSkill
- executing-plansSkill
- finishing-a-development-branchSkill
- git-workflowSkill
- goalSkill
- gsap-coreSkill
- gsap-frameworksSkill
- gsap-performanceSkill
- gsap-pluginsSkill
- gsap-reactSkill
- gsap-scrolltriggerSkill
- gsap-timelineSkill
- gsap-utilsSkill
- jsvmp-bytecode-recoverySkill
- liquid-glass-designSkill
- loopSkill
- make-interfaces-feel-betterSkill
- param-encryptorSkill
- production-auditSkill
- prompt-optimizerSkill
- receiving-code-reviewSkill
- rememberSkill
- repo-scanSkill
- requesting-code-reviewSkill
- reverse-parity-gateSkill
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- scheduleSkill
- security-bounty-hunterSkill
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