Fresh-Context Task Orchestrator

Run long Claude Code builds as a plan file plus fresh-context workers, with a requirements trace so nothing gets silently dropped.

AI Systemsclaude-codecontext-management
by AgentVoltv1.0.0
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Before & after

Same prompt, same agent — the only difference is the skill.

Prompt“Break down my 5-hour build into scoped sub-agent tasks”
Beforegeneric AI agent
You could break this large build into smaller pieces and work on them one at a time systematically. Breaking large tasks into sub-tasks helps you stay organized and makes progress visible to everyone. You might assign different parts to different people or focus on specific areas sequentially. Testing each piece as you go helps catch issues early before they compound. Documenting the steps keeps things clear for the team. You could set milestones to track progress over time. Some kind of checklist or task tracker helps keep everything on track. It's a good way to manage complexity and reduce overwhelm. Would you like suggestions on how to break this down?
Afterwith Fresh-Context Task Orchestrator
FRESH-CONTEXT ORCHESTRATION - 5-HOUR BUILD DECOMPOSED

TASK ANALYSIS: Video streaming platform with auth, player, analytics

SPAWNED SUB-AGENTS (14 agents, 20-30min each)

SUB-AGENT 1: Database schema & migrations
Scope: Design Postgres tables for users, videos, viewing events
Constraints: Read-only on app code, design from schema.prisma spec
Token budget: 50k
Success gate: Schema passes ERD validation, migrations reversible
Estimated time: 25 min

SUB-AGENT 2: Auth endpoints (login, signup, refresh)
Scope: Build Node.js routes, no UI
Constraints: Accept schema from Agent 1, mock secrets via env vars
Token budget: 45k
Success gate: Postman collection passes happy + error path tests
Estimated time: 28 min

SUB-AGENT 3: Video player component (React)
Scope: Build player UI with play/pause, progress bar, volume
Constraints: Accept user schema from Agent 1, stub backend responses
Token budget: 60k
Success gate: Component renders, controls respond to clicks
Estimated time: 32 min

SUB-AGENT 4: Analytics event logging
Scope: POST /events endpoint, log plays/pauses/completions
Constraints: Accept event schema from Agent 1, write to database
Token budget: 35k
Success gate: Events logged to DB, queryable via SQL
Estimated time: 20 min

SUB-AGENT 5-12: Integration & testing (8 sub-agents)
Scope: Connect player to auth, auth to DB, events to analytics
Token budget per agent: 40-50k
Estimated time per agent: 20-25 min

SUPERVISING PLANNER:
Role: Validate each sub-agent output, catch silently dropped requirements, manage handoff dependencies
Example check: Did Agent 3 (player) call the endpoints Agent 2 (auth) actually exposed?
Escalation: If Agent 6 completes but Agent 3 hasn't (dependency miss), re-scope Agent 6

COMMIT STRATEGY: Each successful sub-agent output committed immediately (not batched), feature-branch-per-agent, cherry-pick into main on green
Recovery: Failed agent auto-retry with expanded scope constraints. If retry fails, escalate to human (you)
Total expected duration: 3 hours 45 min (includes overhead). Buffer: 1 hour 15 min.

About this skill

Long sessions get worse and quietly drop requirements. This runs the work as a plan on disk and a series of fresh workers, then proves every requirement is met in the code.

What it does

  • Decides between compacting, clearing, a subagent, or a fresh worker using concrete signals
  • Builds a plan with numbered, testable requirements mapped to scoped tasks
  • Briefs each fresh worker with only its requirements, files, conventions, and done check
  • Verifies tasks by running checks, not trusting summaries, and traces every requirement to file-level evidence

What you get

A plan preview, worker briefs, a progress log format, and a requirements trace table with gaps turned into new tasks.

Best for

Developers running multi-hour Claude Code builds or unattended spec-to-code runs.

SKILL.md preview

SKILL.md
---
name: fresh-context-orchestrator
description: Keep output quality high on a long Claude Code task by running it as a plan file plus a series of fresh-context workers - numbered requirements, one scoped task per subagent or headless run, a handoff written between tasks, and a verifier that checks every requirement against the actual code so nothing is silently dropped. Use when the user says "my session is getting worse the longer it runs", "Claude forgot half the spec", "break this big build into chunks", "should I compact or start fresh?", "run this spec overnight", or casually "it keeps dropping requirements, help".
---

# Fresh-Context Task Orchestrator

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