Agent skill

Autonomous Agents

by davila7 in davila7/claude-code-templates

Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance.

MITAuto-check passedAgent Workflows

Install Autonomous Agents

skills CLI
$ npx skills add davila7/claude-code-templates --skill autonomous-agents -a claude-code

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

GitHub CLI
$ gh skill install davila7/claude-code-templates autonomous-agents --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/davila7/claude-code-templates.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cli-tool/components/skills/ai-research/autonomous-agents .claude/skills/autonomous-agents && 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
autonomous-agents
GitHub stars
32k
Used in
2 other repos
Token cost
~553 tokens
SKILL.md length
181 words
Files
1
Skills in repo
478
Repo updated
First seen
Licence
MIT

At a glance

Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance.

  • Tasks that involve Autonomous loops
  • SKILL.md covers Capabilities, Patterns, Anti-Patterns and ⚠️ Sharp Edges, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Autonomous Agents is an agent skill from davila7/claude-code-templates. Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability. This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% b

Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Autonomous loops. It works with React. The repository describes itself as: CLI tool for configuring and monitoring Claude Code. The licence is MIT.

When your agent uses it

  • Tasks that involve Autonomous loops

Example prompts

  • “t making them capable - it”
  • “/autonomous-agents”

What it can do on your machine

Read from SKILL.md and the folder at commit 46b4d8b. 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

Autonomous Agents loads about 553 tokens when it runs. Until then it costs about 130 tokens; SKILL.md has 181 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~130
When it runs · the whole SKILL.md, loaded when a task matches
~553

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 davila7/claude-code-templates at commit 46b4d8b, republished under its MIT licence (© davila7). 181 words, ~553 tokens.

Download SKILL.mdSave it as .claude/skills/autonomous-agents/SKILL.md (or your agent's skills folder).
name
autonomous-agents
description
Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability. This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% b
source
vibeship-spawner-skills (Apache 2.0)

Autonomous Agents

You are an agent architect who has learned the hard lessons of autonomous AI. You've seen the gap between impressive demos and production disasters. You know that a 95% success rate per step means only 60% by step 10.

Your core insight: Autonomy is earned, not granted. Start with heavily constrained agents that do one thing reliably. Add autonomy only as you prove reliability. The best agents look less impressive but work consistently.

You push for guardrails before capabilities, logging befor

Capabilities

  • autonomous-agents
  • agent-loops
  • goal-decomposition
  • self-correction
  • reflection-patterns
  • react-pattern
  • plan-execute
  • agent-reliability
  • agent-guardrails

Patterns

ReAct Agent Loop

Alternating reasoning and action steps

Plan-Execute Pattern

Separate planning phase from execution

Reflection Pattern

Self-evaluation and iterative improvement

Anti-Patterns

❌ Unbounded Autonomy
❌ Trusting Agent Outputs
❌ General-Purpose Autonomy

⚠️ Sharp Edges

IssueSeveritySolution
Issuecritical## Reduce step count
Issuecritical## Set hard cost limits
Issuecritical## Test at scale before production
Issuehigh## Validate against ground truth
Issuehigh## Build robust API clients
Issuehigh## Least privilege principle
Issuemedium## Track context usage
Issuemedium## Structured logging

Works well with: agent-tool-builder, agent-memory-systems, multi-agent-orchestration, agent-evaluation

© davila7, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in cli-tool/components/skills/ai-research/autonomous-agents of davila7/claude-code-templates.

Open the folder on GitHubat commit 46b4d8b

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in davila7/claude-code-templates, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Autonomous Agents 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.

Autonomous Agents compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Autonomous Agents this skilldavila7/claude-code-templates32k2 repos~553Automated safety check: PassMIT
Lexora Buddy AnimationuseLexora/Lexora566—~232Automated safety check: PassAGPL-3.0
Ralph ProtocolGetStream/stream-chat-react845—~949Automated safety check: PassCustom licence
Tinyplacetinyhumansai/tiny.place138—~5.1kAutomated safety check: PassGPL-3.0-or-later
Autonomous Agentsaiskillstore/marketplace4303 repos~7.5kAutomated safety check: PassNone
Agent Patterns Cataloghashgraph-online/awesome-codex-plugins1.3k—~445Automated safety check: PassApache-2.0

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Works with

Categories

Questions about Autonomous Agents

What does Autonomous Agents do?

Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. Autonomous Agents is an agent skill from davila7/claude-code-templates. Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance.

When should I use Autonomous Agents?

Autonomous Agents fits situations like: tasks that involve Autonomous loops.

How do I install Autonomous Agents in Claude Code?

Run `npx skills add davila7/claude-code-templates --skill autonomous-agents -a claude-code`. Or copy the skill folder (cli-tool/components/skills/ai-research/autonomous-agents in davila7/claude-code-templates) into .claude/skills/autonomous-agents in your project. Claude Code loads it when a task matches its description.

How do I install Autonomous Agents in Codex?

Run `npx skills add davila7/claude-code-templates --skill autonomous-agents -a codex`. Or copy the skill folder (cli-tool/components/skills/ai-research/autonomous-agents in davila7/claude-code-templates) into .agents/skills/autonomous-agents in your project. Codex loads it when a task matches its description.

Can I use Autonomous Agents 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 davila7/claude-code-templates --skill autonomous-agents -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/autonomous-agents, .gemini/skills/autonomous-agents, .github/skills/autonomous-agents and .opencode/skills/autonomous-agents in your project.

What does Autonomous Agents need to run?

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

Does Autonomous Agents 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 Autonomous Agents 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 Autonomous Agents use?

Autonomous Agents 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 Autonomous Agents use?

About 553 tokens (SKILL.md is roughly 2.2k 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 Autonomous Agents?

Skills that share tags, products or a category with Autonomous Agents: Lexora Buddy Animation (useLexora/Lexora, 566 stars), Ralph Protocol (GetStream/stream-chat-react, 845 stars), Tinyplace (tinyhumansai/tiny.place, 138 stars) and Autonomous Agents (aiskillstore/marketplace, 430 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Autonomous Agents?

davila7 (a GitHub user) maintains it in davila7/claude-code-templates, which has 32,483 GitHub stars. The repository holds 478 skills in this directory. The repository was last updated on October 9, 2026.

Source: davila7/claude-code-templates on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.