145 lines
7.3 KiB
Markdown
145 lines
7.3 KiB
Markdown
# SCOPE
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> This file helps you quickly understand what this repository is about,
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> when it is relevant, and when it is not.
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> It is intentionally lightweight and may be incomplete.
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---
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## One-liner
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AI agency framework: specialized agent personas (markdown instruction sets), project-scoped memory, and CLI tooling for deploying informed agents into Claude Code sessions.
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---
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## Core Idea
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Kaizen-agentic packages recurring development workflows (TDD, refactoring, project management, infrastructure health) as named agent personas you invoke in Claude Code. The agency layer adds **project-scoped memory** (`.kaizen/agents/<name>/memory.md`) so agents accumulate knowledge across sessions, plus a **Coach** meta-agent that synthesises cross-agent context for new deployments. The kaizen loop — measure, analyse, refine — is embodied in agent definitions and an `OptimizationLoop` Python pattern, even though runtime execution remains Claude's responsibility.
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---
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## In Scope
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- **21 agent definitions** (`agents/agent-*.md`) — markdown persona instruction sets with YAML frontmatter
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- **Agent categories**: project-management, development-process, code-quality, infrastructure, testing, documentation, meta
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- **Agency framework**: project memory convention, session-start/close protocols, Coach meta-agent (`agent-coach.md`)
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- **Protocol runbooks** (`agents/protocols/<agent>/<slug>.md`) — procedural checklists distinct from agent prompts (sys-medic k3s assessment is the first example)
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- **CLI tooling** (`kaizen-agentic`): `init`, `install`, `update`, `remove`, `list`, `status`, `validate`, `templates`, `detect`, `migrate`, `extensions`, `memory` (show/init/brief/clear), `protocols` (list/show)
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- **Project templates** (python-basic, python-web, python-cli, python-data, comprehensive) — agent bundles defined in registry code, not separate template directories
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- **Python framework** (`src/kaizen_agentic/`): `Agent`/`AgentConfig`, `AgentRegistry`, `AgentInstaller`, `OptimizationLoop`/`PerformanceMetrics`, detection/migration/extensions
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- **Packaged agent data** (`src/kaizen_agentic/data/agents/`) — 17 agents bundled for pip installs (lags `agents/` by 4 agents; see Notes)
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- **Custodian MCP integration** (owned by `the-custodian`): `list_kaizen_agents()` and `get_kaizen_agent()` resolve this repo via `host_paths`
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- **ADRs and workplans** documenting memory, protocols, and workplan conventions
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---
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## Out of Scope
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- Agent runtime / execution engine (agents are persona definitions; Claude Code executes them)
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- LLM orchestration, scheduling, or multi-agent debate systems
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- Project-specific implementation (agents guide work; they do not build the target software)
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- Custodian State Hub, MCP server code, or cross-domain governance (consumed, not owned)
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- PyPI publication pipeline (v1.0.2 released locally; public PyPI distribution still pending)
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---
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## Relevant When
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- Starting a guided development workflow (TDD, refactoring, testing, requirements, scope analysis)
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- Deploying agents into a project with persistent cross-session memory
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- Briefing a newly deployed agent using accumulated project knowledge (Coach / `memory brief`)
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- Scaffolding a new project with consistent structure and agent bundles
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- Looking up available agent personas (CLI, MCP, or `agents/` directory)
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- Contributing or refining an agent persona or protocol runbook
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---
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## Not Relevant When
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- Ad-hoc scripting with no need for structured agent guidance
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- Non-Claude-Code development environments
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- Need for runtime orchestration, task scheduling, or autonomous agent execution
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- Repository capability profiling or SCOPE.md generation at scale (see `repo-scoping`)
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---
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## Current State
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- Status: experimental → stabilizing (v1.0.2; agency framework shipped in WP-0002)
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- Implementation: substantial — 21 agents, full CLI, agency memory + protocols tested e2e; optimization loop exists but is not exercised in production workflows
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- Stability: CLI stable (Click workaround in place); agency framework validated by e2e tests
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- Usage: internal dev projects and Custodian MCP hub-wide; packaged wheel missing 4 newest agents
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- Active work: WP-0001 (community engagement / v1.1.0) — CI, telemetry, cross-platform fixes not started
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---
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## How It Fits
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- Upstream dependencies: Claude Code (agent invocation), kaizen continuous-improvement philosophy
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- Downstream consumers: Custodian State Hub (MCP agent discovery); domain repos that install agents and maintain `.kaizen/` memory
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- Often used with: `the-custodian` (MCP integration), `markitect_project` (project-management patterns), `activity-core` (scaffolding references)
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---
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## Terminology
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- Preferred terms: agent, agent persona, agency, project memory, protocol runbook, Coach
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- Also known as: "kaizen agents", "the agent library"
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- Potentially confusing terms: "Agent" here is a persona/instruction set, not a running process; "agency" means memory + coaching, not autonomous orchestration
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---
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## Related / Overlapping Repositories
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- `the-custodian` — hosts MCP tools that load agents; integration code lives there, not here
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- `repo-scoping` — generates/refreshes SCOPE.md from approved characteristics; owns scope analysis at scale
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- `markitect_project` — references kaizen-agentic as a capability submodule
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- `sys-medic` (source repo) — origin of sys-medic agent; canonical copy now lives in `agents/agent-sys-medic.md`
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---
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## Getting Oriented
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- Start with: `README.md` (quick start, agency overview), `docs/agency-framework.md` (memory + coach + protocols)
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- Key files / directories: `agents/` (persona definitions), `agents/protocols/` (runbooks), `src/kaizen_agentic/` (Python framework), `workplans/` (active roadmap)
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- Entry points: `kaizen-agentic --help`; via MCP: `get_kaizen_agent("scope-analyst")`; docs: `docs/GETTING_STARTED.md`, `docs/AGENT_DISTRIBUTION.md`
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---
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## Provided Capabilities
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```capability
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type: process
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title: Guided development agent personas
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description: Named markdown instruction sets for TDD, refactoring, documentation standards, requirements engineering, and project management workflows in Claude Code sessions.
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keywords: [agents, personas, tdd, refactoring, claude-code, workflows]
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```
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```capability
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type: infrastructure
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title: Agent deployment and project scaffolding CLI
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description: Install, update, validate, and bundle agents into new or existing projects via the kaizen-agentic CLI and registry-backed templates.
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keywords: [cli, install, templates, scaffolding, registry]
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```
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```capability
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type: process
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title: Project-scoped agent memory and coaching
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description: Convention and CLI for .kaizen/agents memory files, session protocols, and Coach-mediated orientation briefs across a deployed agent fleet.
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keywords: [memory, coach, agency, kaizen, cross-session]
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```
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```capability
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type: infrastructure
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title: Kaizen agent discovery via Custodian MCP
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description: Single source of truth for agent definitions consumed by the Custodian State Hub list_kaizen_agents and get_kaizen_agent tools.
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keywords: [mcp, custodian, discovery, agent-library]
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```
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---
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## Notes
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- `agents/` (21 files) is the development source of truth; `src/kaizen_agentic/data/agents/` (17 files) is what pip installs ship — coach, sys-medic, scope-analyst, and optimization are not yet bundled
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- `INTENT.md` is not present in this repo (see gap analysis against derived intent)
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- `agent-optimization.md` and `agent-agent-optimization.md` both exist; naming overlap may confuse discovery |