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Ship features with AI agents that follow specs, not vibes. 9 agents × 8 commands × 9 skills × full PDCA lifecycle for Claude Code.

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pactkit/pactkit

PactKit

PyPI version Python CI License: MIT

Ship features with AI agents that follow specs, not vibes.

PactKit gives Claude Code a structured operating system — 9 specialized agents, 11 commands, 10 skills, and a full Plan-Act-Check-Done lifecycle. One pip install and your AI assistant writes specs before code, runs TDD, and never commits without passing tests.

What it looks like

You:  /project-sprint "Add OAuth2 login"

 Plan   System Architect scans codebase, writes Spec, updates Board
 Act    Senior Developer writes tests first (RED), then code (GREEN)
 Check  QA Engineer runs 6-phase audit (security + quality + spec alignment)
 Done   Repo Maintainer gates regression, archives story, commits

Why PactKit?

AI coding assistants are powerful but unpredictable without structure. PactKit adds a spec-driven governance layer:

  • Spec is the Law — Specifications are the single source of truth (Spec > Tests > Code)
  • Multi-Agent Ensemble — 9 specialized agents collaborate, each with defined roles
  • Full PDCA Lifecycle — Plan → Act → Check → Done, with quality gates at every stage
  • Safe by Design — TDD-first development, safe regression testing, pre-existing test protection

Installation

pip install pactkit

Requires Python 3.10+ and Claude Code.

Quick Start

# Deploy full toolkit (11 commands + 9 agents + 10 skills)
pactkit init

# Update to latest playbooks (preserves your config)
pactkit update

# Deploy to multiple AI agents (Claude Code + Cursor + Copilot)
pactkit init --agent all

# Check installed version
pactkit version

Then in any project with Claude Code:

# Clarify — Surface ambiguities before planning
/project-clarify "Add user authentication"

# Plan — Analyze requirements, create Spec
/project-plan "Add user authentication"

# Act — Spec lint + consistency check + TDD implementation
/project-act STORY-001

# Check — Security scan + quality audit (P0-P3 severity)
/project-check

# Done — Regression gate + auto-PR + conventional commit
/project-done

Or run the full cycle in one command:

/project-sprint "Add user authentication"

PDCA+ Workflow

Phase Command Agent What Happens
Clarify /project-clarify System Architect Ambiguity detection → Structured questions → Clarified brief
Plan /project-plan System Architect Clarify gate → Codebase scan → Spec generation → Board entry
Act /project-act Senior Developer Spec lint → Consistency check → TDD loop → Regression check
Check /project-check QA + Security 8-item security checklist + quality audit + spec alignment
Done /project-done Repo Maintainer Regression gate → Archive → Conventional commit
Release /project-release Repo Maintainer Version bump → Snapshot → Git tag → GitHub Release
PR /project-pr Repo Maintainer Push branch → Create pull request via gh CLI
Sprint /project-sprint Team Lead One-command automated PDCA orchestration
Hotfix /project-hotfix Senior Developer Fast-track fix bypassing PDCA (with traceability)
Init /project-init System Architect Bootstrap project structure and governance
Design /project-design Product Designer PRD generation → Story decomposition → Board setup

Embedded Skills (auto-invoked by commands)

Skill Embedded In Purpose
Trace Plan Phase 1, Act Phase 1 Deep code tracing and execution flow analysis
Release Release Phase 1 Version release: snapshot, archive, Git tag

Agent Skills (invoked via agent roles)

Skill Available To Purpose
Draw visual-architect, system-architect Generate Draw.io XML architecture diagrams
Status system-medic Project state overview
Doctor system-medic Diagnose project health
Review qa-engineer PR Code Review
Analyze senior-developer (Act inline) Cross-artifact consistency check: Spec ↔ Board ↔ Test Cases

Agent Ensemble

PactKit deploys 9 specialized agents, each with constrained tools and focused responsibilities:

Agent Role Core Capability
System Architect Architecture design Maintain Intent Graph, write Specs
Senior Developer Full-stack development TDD loop, call chain analysis, hotfix
QA Engineer Quality gates Deep check (P0-P3), PR review
Security Auditor Security audit OWASP scanning, threat modeling
Repo Maintainer Repository ops Cleanup, archiving, Git conventions, releases
System Medic System diagnostics Configuration drift repair
Visual Architect Architecture visualization Draw.io XML generation
Code Explorer Code tracing Call graph + sequence diagram
Product Designer Product design PRD, story decomposition, board init

Skills

PactKit deploys 10 skills (3 scripted + 7 prompt-only), auto-invoked by commands:

Skill Type Purpose
pactkit-visualize Scripted Code dependency graph (Mermaid): file-level, class-level, call-level
pactkit-board Scripted Sprint board operations: add story, update task, archive
pactkit-scaffold Scripted File scaffolding: create spec, test files, git branches, skills
pactkit-trace Prompt-only Deep code tracing and execution flow analysis
pactkit-draw Prompt-only Generate Draw.io XML architecture diagrams
pactkit-analyze Prompt-only Cross-artifact consistency check: Spec ↔ Board ↔ Test Cases
pactkit-status Prompt-only Cold-start project overview (sprint + git + health)
pactkit-doctor Prompt-only Configuration drift detection and health report
pactkit-review Prompt-only PR code review with SOLID/Security/Quality checklists
pactkit-release Prompt-only Version bump, architecture snapshot, git tag

Safe Regression

PactKit's safe regression system prevents agents from blindly modifying pre-existing tests:

  • TDD Loop — Only iterates on tests created in the current story
  • Regression Check — Read-only gate; pre-existing test failure = STOP and report
  • Done Gate — Full regression by default; incremental only when ALL safety conditions are met

Hierarchy of Truth

Tier 1: Specs & Test Cases           — The Law
Tier 2: Tests                        — The Verification
Tier 3: Implementation               — The Mutable Reality

When conflicts arise: Spec wins. Always.

Project Structure (PDCA-managed)

PactKit's PDCA lifecycle manages a docs/ directory with the following structure:

docs/
├── product/
│   ├── sprint_board.md          ← Current iteration board (Backlog/In Progress/Done)
│   ├── context.md               ← Auto-generated session context for cross-session awareness
│   ├── archive/                 ← Archived completed stories (by month)
│   └── prd.md                   ← Product Requirements Document (greenfield projects)
├── specs/                       ← The Law — requirement specifications (STORY-*, BUG-*, HOTFIX-*)
├── test_cases/                  ← Gherkin acceptance scenarios mapped from specs
└── architecture/
    ├── graphs/                  ← Architecture graph files (Mermaid .mmd)
    │   ├── code_graph.mmd       ← File-level dependency graph (auto-generated)
    │   ├── class_graph.mmd      ← Class diagram with inheritance
    │   ├── call_graph.mmd       ← Function-level call graph
    │   └── system_design.mmd    ← High-level design (manually maintained)
    ├── governance/
    │   ├── rules.md             ← Architecture decisions (ADRs) and invariants
    │   └── lessons.md           ← Lessons learned per story (auto-appended by Done)
    └── snapshots/               ← Versioned architecture graph snapshots

Configuration

PactKit deploys to ~/.claude/:

~/.claude/
├── CLAUDE.md                 ← Modular constitution (entry point)
├── rules/                    ← 6 rule modules
├── commands/                 ← 11 command playbooks
├── agents/                   ← 9 agent definitions
└── skills/                   ← 10 skill packages (3 scripted + 7 prompt-only)
    ├── pactkit-visualize/
    ├── pactkit-board/
    └── pactkit-scaffold/

pactkit.yaml Configuration Reference

The pactkit.yaml file controls which components are deployed and how they behave. All fields below are configurable:

Field Type Default Description
stack string auto-detected Project stack (python, node, go, java)
version string current PactKit version that generated the config
root string . Project root directory (deployment target resolves to ~/.claude by default)
agents list all 9 Agent definitions to deploy
commands list all 11 Command playbooks to deploy
skills list all 10 Skills to deploy
rules list all 6 Constitution rule modules to deploy
exclude object {} Components to exclude (e.g., exclude.agents: [agent-name], exclude.commands: [cmd-name])
ci object provider: none CI/CD pipeline generation; ci.provider supports github, gitlab, none
issue_tracker object provider: none External issue tracker; issue_tracker.provider supports github, none
hooks object disabled Opt-in hook templates (pre-commit, post-test, pre-push); command-type only, report-only
lint_blocking bool false Whether lint failures block commits in Done command
auto_fix bool false Whether to auto-fix lint errors before checking
check.security_checklist bool true Enable 8-item structured security checklist in Check phase
done.lesson_quality_threshold int 15 Minimum quality score (0-25) for lessons to be auto-appended
agent_models object {} Per-agent model overrides (values: haiku, sonnet, opus, inherit)
rule_scopes object {} Map rule IDs to glob patterns for context-aware scoping
enterprise object all false Enterprise flags: no_git, no_external, non_interactive, debug

MCP Integration

PactKit conditionally integrates with MCP servers when available:

MCP Server Purpose PDCA Phase
Context7 Library documentation lookup Act
shadcn UI component search/install Design
Playwright Browser automation testing Check
Chrome DevTools Performance/console/network Check
Memory Cross-session knowledge graph Plan/Act/Done
Draw.io Architecture diagram instant preview Plan, Design

All MCP instructions are conditional — gracefully skipped when unavailable.

Upgrading

pip install --upgrade pactkit
pactkit update

Contributing

See CONTRIBUTING.md for guidelines.

License

MIT

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Ship features with AI agents that follow specs, not vibes. 9 agents × 8 commands × 9 skills × full PDCA lifecycle for Claude Code.

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