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/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.

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babysitter
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$ npx -y skills add a5c-ai/babysitter --skill model-profile-resolution --agent claude-code

SKILL.md

model-profile-resolution.SKILL.md
name: model-profile-resolution
description: 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.
allowed-tools: Read Glob
metadata:
  author: babysitter-sdk
  version: "1.0.0"
  category: gsd-core
  backlog-id: SK-GSD-009
graph:
  domains: [domain:software-engineering]
  skillAreas: [skill-area:agentic-loops, skill-area:orchestration-loop]
  workflows: [workflow:feature-development]
  topics: [topic:developer-experience]
  roles: [role:tech-lead, role:backend-engineer]
  • **balanced**: Mix of high and mid-tier models. Good quality at moderate cost. Default profile.
  • **budget**: Cheapest viable models for all agents. Acceptable quality at minimum cost.

The active profile is stored in `.planning/config.json` under the `profile` field, or can be overridden with the `--profile` flag.

Capabilities

1. Read Active Profile

Load the current profile from configuration:

// .planning/config.json
{
  "profile": "balanced",
  ...
}

If no profile is set, default to `balanced`.

2. Profile Definitions

Each profile maps agent roles to specific models:

quality:
  orchestrator: claude-opus-4-6
  gsd-planner: claude-opus-4-6
  gsd-executor: claude-opus-4-6
  gsd-verifier: claude-opus-4-6
  gsd-plan-checker: claude-opus-4-6
  gsd-phase-researcher: claude-opus-4-6
  gsd-project-researcher: claude-opus-4-6
  gsd-research-synthesizer: claude-opus-4-6
  gsd-roadmapper: claude-opus-4-6
  gsd-codebase-mapper: claude-opus-4-6
  gsd-debugger: claude-opus-4-6
  gsd-integration-checker: claude-opus-4-6

balanced:
  orchestrator: claude-opus-4-6
  gsd-planner: claude-sonnet-4
  gsd-executor: claude-sonnet-4
  gsd-verifier: claude-sonnet-4
  gsd-plan-checker: claude-sonnet-4
  gsd-phase-researcher: claude-sonnet-4
  gsd-project-researcher: claude-sonnet-4
  gsd-research-synthesizer: claude-sonnet-4
  gsd-roadmapper: claude-sonnet-4
  gsd-codebase-mapper: claude-sonnet-4
  gsd-debugger: claude-sonnet-4
  gsd-integration-checker: claude-sonnet-4

budget:
  orchestrator: claude-sonnet-4
  gsd-planner: claude-haiku-4
  gsd-executor: claude-haiku-4
  gsd-verifier: claude-haiku-4
  gsd-plan-checker: claude-haiku-4
  gsd-phase-researcher: claude-sonnet-4
  gsd-project-researcher: claude-haiku-4
  gsd-research-synthesizer: claude-haiku-4
  gsd-roadmapper: claude-haiku-4
  gsd-codebase-mapper: claude-haiku-4
  gsd-debugger: claude-sonnet-4
  gsd-integration-checker: claude-haiku-4

Note: Budget profile uses Sonnet for research and debugging where quality matters most.

3. Per-Agent Model Mapping

Resolve the model for a specific agent:

resolve(agent: "gsd-executor", profile: "balanced")
-> { model: "claude-sonnet-4", profile: "balanced" }

resolve(agent: "gsd-planner", profile: "quality")
-> { model: "claude-opus-4-6", profile: "quality" }

4. Profile Switching

Switch profiles at runtime:

// Before
{ "profile": "balanced" }

// After set-profile quality
{ "profile": "quality" }

Profile switches take effect on the next agent spawn. Already-running agents are not affected.

5. Model Capability Validation

Ensure selected model supports required agent features:

Validate gsd-executor needs:
  [PASS] Code generation: all models support
  [PASS] Tool use: all models support
  [PASS] Long context: all models support 200k
  [PASS] Structured output: all models support

Validate gsd-debugger needs:
  [PASS] Code analysis: all models support
  [PASS] Reasoning: opus-4-6 > sonnet-4 > haiku-4
  [WARN] Complex debugging may benefit from quality profile

6. Cost Estimation

Estimate cost per profile for a workflow:

Workflow: execute-phase (Phase 72, 2 plans, 7 tasks)
  Agent spawns: 2 executor + 1 verifier = 3 agents
  Estimated tokens per agent: ~50,000 input + ~20,000 output

  quality (opus-4-6 for all):
    Input:  3 * 50k * $0.015/1k = $2.25
    Output: 3 * 20k * $0.075/1k = $4.50
    Total: ~$6.75

  balanced (sonnet-4 for agents):
    Input:  3 * 50k * $0.003/1k = $0.45
    Output: 3 * 20k * $0.015/1k = $0.90
    Total: ~$1.35

  budget (haiku-4 for agents):
    Input:  3 * 50k * $0.00025/1k = $0.04
    Output: 3 * 20k * $0.00125/1k = $0.08
    Total: ~$0.12

Note: Cost estimates are approximate and based on typical token usage patterns.

Tool Use Instructions

Resolving Profile

1. Use `Read` to load `.planning/config.json` 2. Extract `profile` field (default to `balanced` if not set) 3. Return profile name

Mapping Agent to Model

1. Resolve active profile 2. Look up agent name in profile mapping 3. Return model identifier 4. If agent not in mapping, use profile default

Switching Profile

1. Use `Read` to load current config 2. Validate new profile name (quality/balanced/budget) 3. Update `profile` field 4. Write updated config (handled by gsd-tools or direct edit)

Cost Estimation

1. Accept workflow description (agent types and counts) 2. Map agents to models via active profile 3. Estimate token usage per agent 4. Calculate cost based on model pricing 5. Return cost breakdown

Process Integration

  • All agent-spawning processes call this skill at initialization:
  • `new-project.js` - Resolve models for 4+ parallel researchers
  • `plan-phase.js` - Resolve model for planner, plan-checker
  • `execute-phase.js` - Resolve model for executor, verifier
  • `quick.js` - Resolve model for planner, executor
  • `debug.js` - Resolve model for debugger
  • `map-codebase.js` - Resolve model for 4 parallel mappers
  • `iterative-convergence.js` - Resolve model per iteration

Output Format

{
  "operation": "resolve|switch|validate|estimate",
  "status": "success|error",
  "profile": "balanced",
  "mapping": {
    "agent": "gsd-executor",
    "model": "claude-sonnet-4"
  },
  "costEstimate": {
    "profile": "balanced",
    "agentCount": 3,
    "estimatedCost": "$1.35"
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Questions about model-profile-resolution.

Which coding agents can use model-profile-resolution?
model-profile-resolution installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.