autonomous-skill
SolidExecute long-running, multi-session tasks autonomously using Claude Code headless mode or in-session hook-based loops. Supports structured task decomposition (for complex projects) and lightweight Ralph-style iteration (for TDD, bug fixing, refactoring). Use this skill whenever the user says "autonomous", "long-running task", "multi-session", "run this in the background", "keep working on this", "batch process", "iterate until done", "ralph loop", or wants any task that requires sustained, unattended execution.
Install
Quality Score: 87/100
Skill Content
Details
- Author
- feiskyer
- Repository
- feiskyer/claude-code-settings
- Created
- 10 months ago
- Last Updated
- 1 months ago
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
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Execute pending Claude Code Tasks in dependency order with wave-based concurrent execution and adaptive verification. Supports task group filtering and configurable parallelism. Use when user says "execute tasks", "run tasks", "start execution", "work on tasks", or wants to execute generated tasks autonomously.
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Run a daily development task through one or more named skills in an isolated tmux-backed Codex or Claude session. Use when the user asks to "impl X with $skill", "run X via $intuitive-flow", supervise a skill-driven task, keep the main session clean, evaluate the run, or improve custom skills after a real task reveals a reusable workflow defect.
autonomous-loops
Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems.
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Run autonomous multi-stage execution loops until acceptance criteria pass or blockers are reached.
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Autonomous backlog grinder — drains issues labeled `ready-for-agent` one at a time, fresh agent context per issue, persistent progress log. Wraps tdd → review → ship. Use when the user wants an AFK queue-drain run, references "Ralph pattern", or invokes `/ai:autonomous`.