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recursive-mode

Automate file-backed, phase-gated AI-assisted repository workflows with audit loops.

128|10|Updated Apr 6, 2026
Search Tags:#workflow#routing#audit#memory#subagent#ai-agent#version-control
One-click install
npx skills add https://github.com/try-works/recursive-mode --skill recursive-mode
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: recursive-mode
Source: https://github.com/try-works/recursive-mode/tree/main
Command: npx skills add https://github.com/try-works/recursive-mode --skill recursive-mode

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires recursive_router_lib, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Coordinating multi-phase AI-assisted software development in a way that is reproducible, auditable, and durable can be error-prone when relying on chat history alone. recursive-mode provides a file-backed, stage-gated workflow that stores requirements, plans, implementation evidence, tests, and memory in the repository, enabling consistent resumption, auditability, and long-term knowledge retention.

Core Features & Use Cases

  • File-backed runs: Each run stores requirements, plan, implementation evidence, tests, and memory artifacts inside the repo for reliability and auditability.
  • Phase governance: Enforces the pipeline through draft -> audit -> repair -> re-audit -> pass -> lock gates to ensure quality and traceability.
  • Subskill and memory integration: Supports subskills, addenda, and a memory plane to improve future runs and enable durable knowledge.
  • Memory promotion: Phase 8 records run-local skill usage and promotes durable lessons into memory surfaces for reuse.
  • Routing and delegation: Integrates with a canonical router to route bounded delegated work through external CLIs/models when configured.

Quick Start

Bootstraps a reusable .recursive scaffold and starts a run with a short command like Implement the run.

request: > Automates and enforces a file-backed, phase-gated workflow for AI-assisted repository tasks. Operates across requirements, plan, implementation, testing, review, and memory with addenda support and durable memory updates. Ensures deterministic diff-basis, audit loops, and routed delegation with subagent verification.