New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Continuous Agent Loop

by majiayu000 in majiayu000/claude-skill-registry

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

MITAuto-check passedAgent Workflows

Install Continuous Agent Loop

skills CLI
$ npx skills add majiayu000/claude-skill-registry --skill continuous-agent-loop -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install majiayu000/claude-skill-registry continuous-agent-loop --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent/continuous-agent-loop .claude/skills/continuous-agent-loop && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
continuous-agent-loop
GitHub stars
666
Used in
6 other repos
Token cost
~268 tokens
SKILL.md length
81 words
Files
2
Skills in repo
1,273
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 4 steps: RFC decomposition (ralphinho-rfc-pipeline) → quality gates (plankton-code-quality +… → eval loop (eval-harness) → …
  • Tasks that involve Autonomous loops
  • SKILL.md covers Loop Selection Flow, Combined Pattern, Failure Modes and Recovery
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Continuous Agent Loop is an agent skill from majiayu000/claude-skill-registry. Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.

Its SKILL.md is about 270 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).

It sits in Agent Workflows, covering Autonomous loops, Quality gates and LLM evaluation. The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.

When your agent uses it

  • Tasks that involve Autonomous loops
  • Tasks that involve Quality gates
  • Tasks that involve LLM evaluation

Example prompts

  • “Use the continuous-agent-loop skill to pattern for continuous autonomous agent loops with quality gates, evals, and recovery controls”
  • “/continuous-agent-loop”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. RFC decomposition (ralphinho-rfc-pipeline)
  2. quality gates (plankton-code-quality + /quality-gate)
  3. eval loop (eval-harness)
  4. session persistence (nanoclaw-repl)

What it can do on your machine

Read from SKILL.md and the folder at commit 2d14a69. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Continuous Agent Loop loads about 268 tokens when it runs. Until then it costs about 30 tokens; SKILL.md has 81 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~30
When it runs · the whole SKILL.md, loaded when a task matches
~268

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from majiayu000/claude-skill-registry at commit 2d14a69, republished under its MIT licence (© majiayu000). 81 words, ~268 tokens.

Download SKILL.mdSave it as .claude/skills/continuous-agent-loop/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
continuous-agent-loop
description
Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.

Continuous Agent Loop

This is the v1.8+ canonical loop skill name. It supersedes autonomous-loops while keeping compatibility for one release.

Loop Selection Flow

text
Start
  |
  +-- Need strict CI/PR control? -- yes --> continuous-pr
  |
  +-- Need RFC decomposition? -- yes --> rfc-dag
  |
  +-- Need exploratory parallel generation? -- yes --> infinite
  |
  +-- default --> sequential

Combined Pattern

Recommended production stack:

  1. RFC decomposition (ralphinho-rfc-pipeline)
  2. quality gates (plankton-code-quality + /quality-gate)
  3. eval loop (eval-harness)
  4. session persistence (nanoclaw-repl)

Failure Modes

  • loop churn without measurable progress
  • repeated retries with same root cause
  • merge queue stalls
  • cost drift from unbounded escalation

Recovery

  • freeze loop
  • run /harness-audit
  • reduce scope to failing unit
  • replay with explicit acceptance criteria

© majiayu000, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/agent/continuous-agent-loop of majiayu000/claude-skill-registry.

  • SKILL.md
  • metadata.json

Open the folder on GitHubat commit 2d14a69

Used in 6 other repositories

We found 11 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 6 other GitHub owners. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Continuous Agent Loop next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Continuous Agent Loop compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Continuous Agent Loop this skillmajiayu000/claude-skill-registry6666 repos~268Automated safety check: PassMIT
Loop Architectfabricioctelles/skills106—~2.1kAutomated safety check: NotesMIT
Skill Eval ImproveArenukvern/mcp_flutter386—~2.4kAutomated safety check: PassMIT
Long Horizon Promptingguanyang/open-agent-hub9751 repos~6.4kAutomated safety check: PassMIT
Self Improvement Loopsguanyang/open-agent-hub9751 repos~5.6kAutomated safety check: PassMIT
Autoresearchbyungjunjang/jangpm-meta-skills121—~6kAutomated safety check: WarnNone

Similar skills

  • Loop Architect

    fabricioctelles/skills

    Design well-structured agent loops with best-practice coaching and cross-model review gates before you run them.

    106 GitHub stars~2.1k tokensUpdated 4 days ago
    Agent WorkflowsAuto-check: notes

  • Skill Eval Improve

    Arenukvern/mcp_flutter

    Improves Agent Skills via validate → rule-based eval cases → plugin-eval → prompt evals → bounded edits with held-out gates.

    386 GitHub stars~2.4k tokensUpdated 5 days ago
    Agent WorkflowsAuto-check passed

  • Long Horizon Prompting

    guanyang/open-agent-hub

    This skill should be used when writing, enhancing, or evaluating the launch prompt for a long-running autonomous agent or a parallel multi-agent orchestration attacking a hard problem: pseudo-formal…

    975 GitHub starsUsed in 1 repo~6.4k tokens
    Agent WorkflowsAuto-check passed

  • Self Improvement Loops

    guanyang/open-agent-hub

    This skill should be used when the harness, scaffold, workflow, or optimizer itself is the optimization target: recursive self-improvement (RSI) loops, meta-harnesses, self-improving harnesses that…

    975 GitHub starsUsed in 1 repo~5.6k tokens
    Agent WorkflowsAuto-check passed

  • Autoresearch

    byungjunjang/jangpm-meta-skills

    Autonomously optimize a Claude Code skill or agent system by running it repeatedly, scoring outputs against evals, mutating owned artifacts (prompt, references, scripts, agent definitions), and…

    121 GitHub stars~6k tokensUpdated 2 mo ago
    Agent WorkflowsAuto-check: warnings

  • Improving MCP Tools

    PostHog/posthog

    Official

    Run an improve-my-MCP campaign: an autoresearch-style loop that measures the MCP agent experience with the eval harness, picks the highest-impact tool problem from production data, makes one bounded…

    40k GitHub stars~1.5k tokensUpdated today
    Agent WorkflowsAuto-check passed

More from majiayu000/claude-skill-registry

All 1,273 skills in this repo

  • Deep Research

    majiayu000/claude-skill-registry

    Multi-source deep research using firecrawl and exa MCPs. An agent skill from majiayu000/claude-skill-registry.

    666 GitHub starsUsed in 6 repos~1.1k tokens
    Auto-check passed

  • Exa Search

    majiayu000/claude-skill-registry

    Neural search via Exa MCP for web, code, and company research.

    666 GitHub starsUsed in 5 repos~856 tokens
    Auto-check passed

  • Fal AI Media

    majiayu000/claude-skill-registry

    Unified media generation via fal.ai MCP — image, video, and audio.

    666 GitHub starsUsed in 5 repos~1.7k tokens
    Auto-check passed

  • Pyzotero

    majiayu000/claude-skill-registry

    Interact with Zotero reference management libraries using the pyzotero Python client.

    666 GitHub starsUsed in 5 repos~1.6k tokens
    Auto-check: notes

  • Bgpt Paper Search

    majiayu000/claude-skill-registry

    Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server.

    666 GitHub starsUsed in 4 repos~619 tokens
    Auto-check: notes

  • Bio Alignment Pairwise

    majiayu000/claude-skill-registry

    Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner.

    666 GitHub starsUsed in 4 repos~1.7k tokens
    Auto-check passed

Categories

Questions about Continuous Agent Loop

What does Continuous Agent Loop do?

Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls. Continuous Agent Loop is an agent skill from majiayu000/claude-skill-registry. Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.

When should I use Continuous Agent Loop?

Continuous Agent Loop fits situations like: tasks that involve Autonomous loops; tasks that involve Quality gates; tasks that involve LLM evaluation.

How do I install Continuous Agent Loop in Claude Code?

Run `npx skills add majiayu000/claude-skill-registry --skill continuous-agent-loop -a claude-code`. Or copy the skill folder (skills/agent/continuous-agent-loop in majiayu000/claude-skill-registry) into .claude/skills/continuous-agent-loop in your project. Claude Code loads it when a task matches its description.

How do I install Continuous Agent Loop in Codex?

Run `npx skills add majiayu000/claude-skill-registry --skill continuous-agent-loop -a codex`. Or copy the skill folder (skills/agent/continuous-agent-loop in majiayu000/claude-skill-registry) into .agents/skills/continuous-agent-loop in your project. Codex loads it when a task matches its description.

Can I use Continuous Agent Loop in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add majiayu000/claude-skill-registry --skill continuous-agent-loop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/continuous-agent-loop, .gemini/skills/continuous-agent-loop, .github/skills/continuous-agent-loop and .opencode/skills/continuous-agent-loop in your project.

What does Continuous Agent Loop need to run?

SKILL.md names no scripts, command-line tools or credentials: Continuous Agent Loop is instructions for the agent only.

Does Continuous Agent Loop access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Continuous Agent Loop safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Continuous Agent Loop use?

Continuous Agent Loop is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Continuous Agent Loop use?

About 268 tokens (SKILL.md is roughly 1.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Continuous Agent Loop?

Skills that share tags, products or a category with Continuous Agent Loop: Loop Architect (fabricioctelles/skills, 106 stars), Skill Eval Improve (Arenukvern/mcp_flutter, 386 stars), Long Horizon Prompting (guanyang/open-agent-hub, 975 stars) and Self Improvement Loops (guanyang/open-agent-hub, 975 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Continuous Agent Loop?

majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 1,273 skills in this directory. The repository was last updated on October 7, 2026.

Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.