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Changelog

All notable changes to this project will be documented in this file.

[1.0.0] — 2026-07-09

🏆 Gold Standard v1.0 — All 53 Skills Upgraded

Every skill upgraded to the Gold Standard SKILL.md v1.0 specification — 12 required sections: Blocking Violations, Verification with quality gates, Performance & Cost models, structured Examples, Anti-Patterns tables, and full References/Changelog. This is the largest quality upgrade in the project's history.

  • Created .agent/shared/GOLD-STANDARD-SKILL.md — universal 12-section template with scoring rubric
  • All 53 skills now at 12/12 gold standard sections (100% compliance, 19,531 total lines)
  • Fixed RTK skill Redux anti-patterns (critical copy-paste bug)
  • Fixed broken rtk bun test (or npm test) syntax across all skills
  • Added Blocking Violations, Performance & Cost, References to every skill
  • Enhanced mega-mind orchestrator to 671 lines with workflow chain selection guide
  • Enhanced security-reviewer with OWASP Top 10 (2025), CWE mappings, STRIDE threat modeling
  • Updated AGENTS.md, README.md, USAGE.md, and pyproject.toml for v1.0

[0.8.0] — 2026-05-23

🏗️ Full Lifecycle Coverage

  • 5 new agent personas: incident-commander (production incidents), release-manager (versioning/rollouts), accessibility-auditor (WCAG compliance), adversarial-tester (chaos/fuzz testing), data-privacy-officer (GDPR/CCPA/SOC2)
  • 2 new workflows: incident-response (full incident lifecycle), release (version→changelog→rollout→monitor)
  • 5 new workflow chains: Incident Response, Release, Accessibility Audit, Adversarial Test, Compliance Review — all registered in the mega-mind routing matrix
  • Agent personas expanded from 6 → 11, workflows from 7 → 9

🔧 Structural Fixes (14 items)

# Issue Resolution
1 task.md single-point-of-failure Backup script + stub + workflow reference
2 Routing matrix drift Validator enforces coverage; all 53 skills + 11 agents covered
3 Skill count inconsistency Reconciled to 53 across AGENTS.md, disk, routing matrix
4 Cross-skill vocabulary drift 18 headings normalized; verification phases unified
5 Z-Pattern rigidity 7 decomposition patterns added (API-First, ML, IaC, etc.)
6 Grep-fragile checklists 115 patterns fixed across 34 skills (-E flag, POSIX-compliant)
7 Agent/skill boundary blurred Routing note + code-reviewer/qa-engineer added to matrix
8 No formal handoff interface Handoff block template + 3 key skills updated
9 Instinct decay mechanism last_validated/review_by fields + decay table + conflict detection
10 search-first after routing Moved to step 2 in Request Analysis
11 RTK hard dependency Fallback protocol with detection + bare commands
12 No skill regression tests Validator script + chain integrity eval
13 Flat verification depth Tiered verification (Tier 1 Surface / Tier 2 Standard / Tier 3 Deep)
14 Claude-specific idioms Runtime-agnostic terms + compatibility section in multi-execute

🌐 Universal Compatibility

  • Unified compatibility: frontmatter across all 53 skills, 11 agents, and 9 workflows to: Any AI coding agent (Antigravity, Claude Code, Copilot, Cursor, OpenCode, Codex, pi, and all tools supporting the Agent Skills open standard)
  • Updated AGENTS.md, README.md, USAGE.md, and pyproject.toml descriptions to reflect universal compatibility

📦 Distribution

  • Synced all .agent/ changes to src/mega_mind/assets/ for correct package distribution
  • Created scripts/validate-skill-system.py — automated validator (skill count, routing, headings, required sections, grep portability)
  • Created scripts/backup-task-state.sh — timestamped task.md backups
  • Created scripts/sync-assets.py — one-command sync from .agent/ to src/mega_mind/assets/
  • Fixed Unicode encoding error in CLI (✅/❌ → [OK]/[ERROR]) for Windows console compatibility

[0.7.0] — 2026-04-30

🔧 Orchestration Fixes

  • Fixed 23 stale skill references across the entire skill system (systematic-debugging → debugging, verification-before-completion → verification-loop, bug-hunter → debugging, api-designer → backend-architect, using-mega-mind → mega-mind)
  • Reconciled skill counts in AGENTS.md — now correctly shows 9 Core + 30 Domain Expert + 12 Meta + 2 Token = 53
  • Fixed phase count inconsistency in execute-plan and high-complexity-dev workflows (6 → 10 phases matching verification-loop)
  • Added missing autoresearch-loop to Meta & Learning skills list
  • Added missing regex-vs-llm-structured-text to Domain Expert skills
  • Recategorized planner and architect as agent personas (not skills) in AGENTS.md routing matrix
  • Completed ship workflow chain with continuous-learning-v2

🧩 New Platform: pi-coding-agent

  • Added --pi flag to CLI and installer
  • Installs to .pi/skills/, .pi/prompts/, .pi/agents/, and .agents/skills/ (cross-tool Agent Skills standard)
  • Full documentation in README.md and USAGE.md with platform-specific notes

📦 Distribution

  • Synced all .agent/ fixes to src/mega_mind/assets/ for correct package distribution
  • Updated README.md: fixed skill counts, shared/ directory listing, removed phantom tests/ dir
  • Updated USAGE.md: Step 5 is now general usage guide for all platforms with command reference table

[0.6.0] — 2026-04-17

🔄 Skill Library Consolidation

  • Consolidated and enhanced the agent skill library — merged overlapping skills, removed stale ones
  • Enhanced agent definitions with structured frameworks and protocols
  • Synchronized workflow references with consolidated skill library
  • Updated skill listings post-consolidation across all documentation

📚 New Shared Operational Guides

  • Added DE-SLOPPIFY.md — code quality cleanup checklist
  • Added RTK_GUIDE.md — Rust Token Killer usage guide (60-90% token savings)
  • Added VERIFICATION-GATE.md — structured 6-phase verification checkpoint

📖 Documentation

  • Updated skill documentation and usage guide post-consolidation
  • Added .agent/evals to .gitignore for evaluation artifacts

[0.5.0] — 2026-04-05

🏷️ Rebrand to mmo

  • CLI entry point renamed to mmo (was mega-mind-orchestrator)
  • PyPI package name: mmo
  • Both mmo and mega-mind-orchestrator console scripts registered

🌐 Platform Support

  • Expanded platform flags for targeted installation
  • Full Claude Code, GitHub Copilot, OpenCode, and Codex compatibility

[0.4.0] — 2026-04-03

🪝 Context-Mode Hook Integration

  • Implemented context-mode hook system for all supported environments
  • Hooks for PreToolUse, PostToolUse, PreCompact, and SessionStart events
  • Added .agent/hooks/hooks.json generation

🛡️ Behavior Guardrails

  • Added session rules: no proactive commits, mandatory task tracking, search-first, de-sloppify, security by design
  • Added autoresearch rules: continuous-learning-v2 loop, self-eval before done
  • Enforced quality gates before any task marked complete

[0.3.2] — 2026-03-28

🔧 Fixes

  • Fixed installation commands to use mega-mind-orchestrator console script entry point

[0.3.1] — 2026-03-27

🔧 Fixes

  • Updated GitHub Actions workflow versions

[0.3.0] — 2026-03-27

🚀 Platform Installer

  • Added --claude flag for Claude Code-compatible installation
  • Added --copilot flag for GitHub Copilot-compatible installation
  • Skills copied to platform-specific directories with proper file naming

🧠 Mega-Mind Orchestration

  • Added structured workflow system via AGENTS.md with mega-mind orchestrator
  • Request routing matrix, skill chains, workflow definitions
  • Task tracking via docs/plans/task.md

🏷️ Metadata

  • Added compatibility frontmatter field to all skills for AI coding assistant targeting
  • Added --from option to uv tool install

[0.2.0] — 2026-03-25

🤖 GitHub Copilot Support

  • Added GitHub Copilot-compatible file structure to the installer
  • Targeted brainstorming gate for structured exploration

[0.1.1] — 2026-03-24

🔧 Fixes

  • Added --version option to CLI with proper package name

[0.1.0] — 2026-03-24

🎉 Initial Release

  • Mega-Mind CLI tool for skill system installation
  • 53+ specialized AI coding assistant skills across 4 categories
  • mmo init CLI command for project initialization
  • PyPI package published as mega-mind-orchestrator
  • CI/CD pipeline for automated PyPI publishing
  • RTK token optimization integration