a5c-ai/babysitter - Page 2

continuous-learning

Pattern extraction, confidence-scored evaluation, skill creation, organization, versioning, and cross-project export pipeline.

eval-harness

Evaluation harness for testing agent and skill quality through structured benchmarks, regression tests, and quality scoring.

multi-service-orchestration

PM2 process management, backend/frontend cascade execution, parallel worktree builds, and cross-service integration testing.

research-first-dev

Research-first development methodology that investigates existing solutions, brainstorms alternatives, and evaluates trade-offs before any implementation begins.

security-scanning

AgentShield security audit with 5 scanning categories, 102 static analysis rules, and optional red-team simulation.

tdd-enforcement

Red-Green-Refactor TDD methodology with mandatory failing tests, minimal implementation, quality refactoring, and 80% coverage gating.

agent-coordination

Coordinate Crew (persistent) and Polecat (transient) agents using Gas Town's hook-based work distribution and GUPP principle.

convoy-management

Create, track, and land convoys of related beads as primary work orders in the Gas Town multi-agent orchestration framework.

formula-authoring

Author TOML-based Formula workflow templates that become Protomolecules and active Molecules in Gas Town's durable workflow system.

issue-tracking

Track beads as git-backed issues with persistent attribution, supporting Gas Town's bead lifecycle and convoy progress monitoring.

merge-queue

Process the Refinery merge queue - collect agent work, detect and resolve conflicts, merge in dependency order, and verify integration.

patrol-monitoring

Continuous monitoring using Deacon/Witness patterns for agent health checks, stuck detection, and automated recovery.

session-management

Manage agent sessions including initialization, handoffs, revival (seance), and persistent identity for Polecats and Crew agents.

work-decomposition

Decompose goals into MEOWs (Molecular Expressions of Work) - trackable atomic units following Gas Town's bead-based work model.

context-engineering

Context window monitoring and budget management. Keeps orchestrator at 15-30% context usage while subagents get full 200k tokens. Provides warnings at thresholds, context-aware summarization triggers, and wave-level budget planning.

frontmatter-parsing

YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.

git-integration

Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.

gsd-tools

Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules…

model-profile-resolution

Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.

roadmap-management

Roadmap parsing, analysis, and mutation operations for ROADMAP.md. Handles phase and milestone lifecycle including add, insert (decimal), remove, complete, and requirements coverage analysis.

state-management

STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.

template-scaffolding

Template loading, variable filling, and scaffolding for all GSD artifacts. Manages 22+ templates covering every document type in the GSD system, from PROJECT.md to milestone archives.

verification-suite

Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.

code-review-gate

Architect code review with DRY, YAGNI, abstraction, and test coverage principle enforcement

hotfix-triage

Urgent issue classification, root cause analysis, and fast-path routing for production hotfixes

knowledge-graph-management

Capture, validate, query, and sync architectural patterns and design decisions in the knowledge graph

maintenance-orchestration

Technical debt management including branch cleanup, doc verification, TODO scanning, and dependency auditing

requirements-interview

Interactive PM interview with expertise-adaptive questioning for requirements elicitation

specification-generation

Convert requirements into structured technical specifications with architecture decisions

story-decomposition

Break technical specifications into small, implementable stories with dependency ordering

test-enforcement

Automated test validation, coverage checking, and quality metrics with aggressive defaults

adversarial-review

Fresh adversarial code review with binary PASS/FAIL verdicts, evidence citations, and anchoring bias prevention via fresh reviewer spawning.

design-review-gate

Parallel design review by 6 specialist agents (PM, Architect, Designer, Security Design, UX, CTO) with mandatory unanimous approval.

external-tool-coordination

Coordinate external AI tool integration (OpenAI Codex, Google Gemini) for cross-model adversarial review and delegated implementation.

knowledge-curation

Context priming before work (bd prime) and self-reflection after completion to extract patterns, gotchas, and decisions into the knowledge base.

orchestrated-execution

Execute work units through the rigorous 4-phase Metaswarm cycle (Implement -> Validate -> Adversarial Review -> Commit) with independent quality gate enforcement.

plan-review-gate

Adversarial plan review by 3 independent reviewers (Feasibility, Completeness, Scope & Alignment) before presenting to user.

pr-shepherding

Monitor PR lifecycle from creation through merge including CI monitoring, review comment handling, thread resolution, and merge readiness verification.

work-unit-decomposition

Decompose implementation plans into discrete work units with enumerated DoD items, file scope declarations, dependency mapping, and human checkpoint flags.

behavior-contract

Bug condition/postcondition formalization as testable Behavior Contracts. Defines invariants that must be preserved across fixes.