Feature: OpenClaw Agent Context Generator
Problem
ai-coders-context currently generates repository context focused on code understanding, but it does not support generating structured context tailored for OpenClaw multi-agent architectures.
OpenClaw requires explicit definitions for:
- Agents
- Subagents
- Skills
- Tool bindings
- Inter-agent connections
There is no generator mode optimized for this structure.
Objective
Add a new generation mode to produce structured context compatible with OpenClaw, enabling automatic scaffolding of:
- Agent definitions
- Subagent hierarchies
- Skills registry
- Tool integrations
- Agent communication flows
The output should generate a YAML or JSON structure compatible with OpenClaw.
Example:
agents:
- name: Orchestrator
role: Task router
subagents:
- ResearchAgent
- ExecutionAgent
skills:
- memory.read
- memory.write
- name: ResearchAgent
role: Data retrieval
skills:
- web.search
- db.query
connections:
- from: Orchestrator
to: ResearchAgent
protocol: async
skills_registry:
- name: web.search
type: http
- name: db.query
type: sql
Acceptance Criteria
- New
openclaw generation mode
- Structured YAML/JSON output compatible with OpenClaw
- Automatic agent and skill inference from repository structure
- Documentation updated with usage example
Feature: OpenClaw Agent Context Generator
Problem
ai-coders-contextcurrently generates repository context focused on code understanding, but it does not support generating structured context tailored for OpenClaw multi-agent architectures.OpenClaw requires explicit definitions for:
There is no generator mode optimized for this structure.
Objective
Add a new generation mode to produce structured context compatible with OpenClaw, enabling automatic scaffolding of:
The output should generate a YAML or JSON structure compatible with OpenClaw.
Example:
Acceptance Criteria
openclawgeneration mode