autospec-continue

Extract assistant next-step recommendations and hand off to /autospec --autonomous.

3|1|Updated Apr 29, 2026
One-click install
npx skills add https://github.com/berlinguyinca/autospec --skill autospec-continue
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: autospec-continue
Source: https://github.com/berlinguyinca/autospec/tree/main/skills/autospec-continue
Command: npx skills add https://github.com/berlinguyinca/autospec --skill autospec-continue

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires curl, jq, git, gh, and includes scripts (resource) components.

What problem does it solve?

Keeps you from copy-pasting “what to do next” when an AI already suggested an actionable continuation, so you can immediately turn that next step into tracked, reviewable software work.

Core Features & Use Cases

  • Recommendation extraction: pulls the most actionable “next steps” content from the most recent assistant message using ordered matchers (headings, fenced blocks, imperative lists, and “you should/I suggest” patterns).
  • Refine then handoff: pipes the extracted recommendation through /autospec-refine and then hands off to /autospec --autonomous for end-to-end implementation.
  • Loop or single pass: runs as a continuous extract→refine→handoff loop with termination conditions, or runs once via --no-loop / --once.

Quick Start

Use autospec-continue to extract the latest assistant “next steps” and implement them autonomously: run /continue in the current conversation where the assistant just suggested what to do next.

Frequently Asked Questions about autospec-continue

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I turn AI assistant recommendations into autonomous GitHub PRs?

To turn AI assistant recommendations into autonomous GitHub PRs, this Skill extracts actionable 'next steps' from the latest chat message, refines them, and hands off to an autonomous workflow for implementation across Claude Code, OpenCode, and Codex CLI harnesses.

Can I automate issue-to-PR workflows from conversational next steps?

Yes, you can automate issue-to-PR workflows by running a continuous extract, refine, and handoff loop that converts conversational next steps into tracked, reviewable software work with termination conditions or single-pass execution.

What is the best way to extract actionable instructions from an AI chat for software implementation?

The best way to extract actionable instructions is using ordered matchers that parse headings, fenced blocks, imperative lists, and 'you should' patterns from the most recent assistant message to identify executable tasks.

Do I need git and gh installed to automate issue-to-PR generation?

Yes, you need git and gh installed along with curl and jq, because these dependencies are required to parse matchers, apply safety guards, and execute GitHub issue and PR generation commands autonomously.

How do I prevent autonomous implementation loops from oscillating or running indefinitely?

To prevent autonomous implementation loops from oscillating, the workflow applies rate limiting and operator confirmation rules with loop or single-pass termination conditions using --no-loop or --once flags.

Does this autonomous implementation workflow support OpenCode and Codex CLI?

Yes, this autonomous implementation workflow supports OpenCode and Codex CLI harnesses, bridging recommendations into plan-and-ship execution for GitHub issue and PR generation across multiple coding environments.