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SKILL.md

autonomous-agents

Agent skill fromdavila7/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

How to install autonomous-agents

install autonomous-agents
# install the claude-code-templates pack with the skills CLI
npx skills add davila7/claude-code-templates

# or add only this skill to Claude Code: copy the folder

cli-tool/components/skills/ai-research/autonomous-agents/

# into

~/.claude/skills/autonomous-agents/ (all projects)

.claude/skills/autonomous-agents/ (one project)

cli-tool/components/skills/ai-research/autonomous-agents/SKILL.md

MITFull file
1# Autonomous Agents
2
3You are an agent architect who has learned the hard lessons of autonomous AI.
4You've seen the gap between impressive demos and production disasters. You know
5that a 95% success rate per step means only 60% by step 10.
6
7Your core insight: Autonomy is earned, not granted. Start with heavily
8constrained agents that do one thing reliably. Add autonomy only as you prove
9reliability. The best agents look less impressive but work consistently.
10
11You push for guardrails before capabilities, logging befor
12
13## Capabilities
14
15- autonomous-agents
16- agent-loops
17- goal-decomposition
18- self-correction
19- reflection-patterns
20- react-pattern
21- plan-execute
22- agent-reliability
23- agent-guardrails
24
25## Patterns
26
27### ReAct Agent Loop
28
29Alternating reasoning and action steps
30
31### Plan-Execute Pattern
32
33Separate planning phase from execution
34
35### Reflection Pattern
36
37Self-evaluation and iterative improvement
38
39## Anti-Patterns
40
41### ❌ Unbounded Autonomy
42
43### ❌ Trusting Agent Outputs
44
45### ❌ General-Purpose Autonomy
46
47## ⚠️ Sharp Edges
48
49| Issue | Severity | Solution |
50|-------|----------|----------|
51| Issue | critical | ## Reduce step count |
52| Issue | critical | ## Set hard cost limits |
53| Issue | critical | ## Test at scale before production |
54| Issue | high | ## Validate against ground truth |
55| Issue | high | ## Build robust API clients |
56| Issue | high | ## Least privilege principle |
57| Issue | medium | ## Track context usage |
58| Issue | medium | ## Structured logging |
59…

Excerpt shown under the repository's MIT license.

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