agent-usage-optimizer-complexity-tier-model-mapping

Sub-skill of agent-usage-optimizer: Complexity Tier → Model Mapping.

Repositorio: vamseeachanta/workspace-hub
Última actividad en el origen: 4 de mayo de 2026 a las 15:05
Idioma detectado de SKILL.md: inglés
Estrellas: 16
Forks: 7

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communication-voice

Write outbound email and external messages in Vamsee Achanta's voice — a subtle offer to help, never bold or rash claims. Load before drafting ANY email, LinkedIn/Collide reply, proposal note, or outreach sent under his name.

2026-07-30

hf-dataset-publishing

Save/publish analysis or computation results from ANY ecosystem repo to Hugging Face as a queryable, viewer-renderable dataset. Use when the user wants to "save results to hugging face", "publish dataset to HF", "hugging face data saving", "save analysis results", "hf dataset", "make results queryable", or "render via datasets-server API". Reshapes nested results into flat parquet tables, writes a dataset card with a viewer `configs:` block and provenance, applies license/public-vs-private routing, enforces a domain data-quality gate (faithful-to-source != correct), publishes to `aceengineer/<repo>-<projection>`, and verifies via the datasets-server API.

2026-07-28

github-repo-management

Clone, create, fork, configure, and manage GitHub repositories. Manage remotes, secrets, releases, and workflows. Works with gh CLI or falls back to git + GitHub REST API via curl.

2026-07-23

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name	agent-usage-optimizer-complexity-tier-model-mapping
description	Sub-skill of agent-usage-optimizer: Complexity Tier → Model Mapping.
version	1.0.0
category	ai
type	reference
scripts_exempt	true

Complexity Tier → Model Mapping

Use this alongside Route mapping when task nature is clear:

Complexity tier	Keywords	Recommended model
`routine`	format, rename, config, scaffold, update-doc, copy	Codex Haiku
`standard`	implement, review, test, fix, migrate, document	Codex Sonnet
`complex`	architecture, design, cross-repo, security, compound	Codex Opus

Key insight: the gap between theoretical and observed exposure is an implementation gap — not a capability gap. Routing routine tasks to cheaper models closes this gap for our workflow. See WRK-5002 to automate tier detection in task_classifier.sh.

Use this skill before any multi-item work session or when quota is a concern. Related: ai/optimization/model-selection, ai/optimization/usage-optimization

agent-usage-optimizer-complexity-tier-model-mapping

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Complexity Tier → Model Mapping

Complexity Tier → Model Mapping

Complexity Tier → Model Mapping

Complexity Tier → Model Mapping