By ArtMin96
Multi-agent decomposition: planner/generator/reviewer triad with tool-isolated capability boundaries
Implementation agent. Writes code based on a planner's output. Has full read-write access. Follows existing patterns and conventions.
Read-only exploration agent. Analyzes codebase, identifies patterns, proposes implementation approach. Cannot modify files — capability isolation prevents accidental changes during planning.
Read-only critic agent. Reviews implementation for bugs, edge cases, and convention violations. Cannot modify code — separation ensures honest evaluation.
Uses power tools
Uses Bash, Write, or Edit tools
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Orchestration patterns: task routing, explore-plan-implement cycle, daily rituals
Execution trace collection, analysis, and harness evolution. Stores structured JSONL traces for pattern detection and failure-driven improvement.
Evaluator-optimizer pattern: adversarial review, verification, static analysis gates, postmortems
Context management: progressive pressure tracking, session handoffs, drift detection, edit safety, large-file warnings, plan mode hooks, MCP monitoring, prompt budget awareness
Three-tier memory architecture: pointer index, on-demand topics, searchable transcripts
npx claudepluginhub artmin96/forge-studio --plugin agentsThis skill should be used when the model's ROLE_TYPE is orchestrator and needs to delegate tasks to specialist sub-agents. Provides scientific delegation framework ensuring world-building context (WHERE, WHAT, WHY) while preserving agent autonomy in implementation decisions (HOW). Use when planning task delegation, structuring sub-agent prompts, or coordinating multi-agent workflows.
Battle-tested configuration system for Claude Code agents: 28 architectural principles (incl. P-28 Feature-Layer Architecture for project-knowledge-as-a-navigable-tree), 19 safety hooks, 23 skills (incl. /layer-new + /feature-new for ULTRAPACK-style feature narratives), 16 alternative comparisons, 12 templates (incl. extended kb-skeleton with docs/layers/), diagnostic scripts (incl. build_kb_graph.py + validate_kb_links.py). Pairs with mclaude for multi-session coordination.
Harness for Claude Code — skills, /harness:* slash commands, persona subagents, lifecycle hooks, and MCP tools without per-repo `harness setup`. Sibling plugins exist for Cursor, Gemini CLI, and Codex.
11 agents, 35 skills, 18 commands, 9 hooks — spec-driven multi-agent orchestration for Claude Code, with optional cross-device semantic memory.
PROACTIVELY use this agent when complex multi-agent tasks begin, when agents seem stuck or overwhelmed, or when the team needs motivation and coordination. This agent serves as the elite performance coach for all other agents, ensuring they operate at their highest level while maintaining composure and excellence. Should be triggered automatically at the start of challenging projects or when detecting agent confusion. Examples:\n\n<example>\nContext: Starting a complex project requiring multiple agents\nuser: "We need to build a viral TikTok app in 2 weeks"\nassistant: "This is an ambitious goal that will require our A-team! Let me bring in the studio-coach to coordinate our agents and ensure everyone performs at their peak."\n<commentary>\nComplex projects benefit from having a coach to keep all agents aligned and motivated.\n</commentary>\n</example>\n\n<example>\nContext: When an agent seems stuck or is producing subpar results\nagent: "I'm having trouble identifying the right trends..."\nassistant: "Let me bring in the studio-coach to help refocus and elevate your approach."\n<commentary>\nAgents can get overwhelmed or lose focus - the coach helps them recenter and excel.\n</commentary>\n</example>\n\n<example>\nContext: Before launching a major sprint or initiative\nuser: "Tomorrow we start the 6-day sprint for our biggest project yet"\nassistant: "Time to rally the team! I'll have the studio-coach prepare everyone mentally and strategically for peak performance."\n<commentary>\nPre-sprint coaching ensures all agents start with clarity, confidence, and coordination.\n</commentary>\n</example>\n\n<example>\nContext: When celebrating wins or learning from failures\nuser: "Our app just hit #1 on the App Store!"\nassistant: "Incredible achievement! Let me bring in the studio-coach to celebrate with the team and capture what made this success possible."\n<commentary>\nThe coach helps institutionalize wins and extract learnings from both successes and failures.\n</commentary>\n</example>
A single-skill package for generating harness blueprints for agentic systems.