FreePublished on GitHub

model-selection

Choose and tune which AI model a custom agent, subagent, or squad node should use. USE FOR: picking a model by task capability tier (general-purpose coding/writing, fast/cheap, deep reasoning/debugging, multimodal); efficiency-first vs. capability-first starting strategies; tuning an effort/reasoning-effort parameter instead of switching models; call cadence vs. provider prompt-cache TTL; cost-tier ranking and cost ceilings; cross-provider or cross-model-family diversity for independent/adversarial review; per-harness model field syntax and resolution order (GitHub Copilot CLI, Claude Code, VS Code custom agents); extending this framework to a new harness. DO NOT USE FOR: authoring the rest of an agent's frontmatter or prompt body (use copilot-cli-custom-agents, claude-code-custom-agents, or the target harness's own skill); designing squad topology (use agent-graph-orchestration); SKILL.md authoring (use create-skill).

The English summary is being prepared. Showing the original description.

NetFabric/NetFabric.Numerics36 stars(GitHub 36 + cccskills 0)

Works withGitHub

Run score Not tested

See how to install

Files included (4)

SKILL.md4.4 KB
references/cache-and-cost.md4.0 KB
references/harness-mapping.md3.2 KB
references/selection-criteria.md4.1 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Model Selection

Every custom agent, subagent, or squad node needs an explicit model choice — never leave it unset on the assumption that an inherited default is adequate for a specialist role. The right model balances five criteria, then gets mapped onto whatever field syntax the target harness actually accepts.

Anatomy

Criterion	Question it answers
Capability tier	How complex is the reasoning this agent's task requires?
Speed	How latency-sensitive is whoever is waiting on this agent?
Cost	What's the budget, and is this agent bounded by a caller's own cost ceiling?
Context & modality	Does the task need a large context window, or image/visual input?
Effort	Can the same model be tuned cheaper or faster instead of switching models entirely?

Workflow

Establish task criteria for this specific agent — capability need, latency sensitivity, cost budget, context/multimodal needs → references/selection-criteria.md
Pick a starting strategy: efficiency-first (start cheap/fast, upgrade only if evals show a gap) or capability-first (start at the top, optimize down later) → references/selection-criteria.md
Prefer tuning an effort/reasoning-effort parameter over switching models when the harness and model support it — it trades intelligence for latency/cost within the same model family, a cheaper lever than a full model swap → references/selection-criteria.md
If this agent is one node of a multi-agent squad, or needs independent/adversarial review, apply call-cadence vs. provider prompt-cache TTL, cost-tier ranking/ceilings, and cross-provider diversity → references/cache-and-cost.md
Ask which harness targets this agent (if not already established), then apply that harness's exact model field name, value shape, and resolution order → references/harness-mapping.md
Verify the chosen model name is still current against the provider's live docs before finalizing — model lineups rotate every few months; never trust a memorized or previously-seen model name as still accurate → references/selection-criteria.md
Run markdown-best-practices over any new or edited Markdown produced while documenting the choice (design notes, agent files' surrounding docs)

Reference Files

File	Load When
references/selection-criteria.md	Picking a capability tier for a task, choosing an efficiency-first vs. capability-first starting point, tuning an effort/reasoning-effort parameter, deciding whether to upgrade/downgrade after benchmarking, or verifying a model name is still current
references/cache-and-cost.md	An agent's call cadence vs. its provider's prompt-cache TTL, ranking candidate models by cost tier, applying a cost ceiling inherited from a caller, or picking genuinely independent models/providers for adversarial or second-opinion review
references/harness-mapping.md	Writing the actual `model:`-equivalent field for GitHub Copilot CLI, Claude Code, or VS Code custom agents, understanding each harness's resolution order and fallback-list support, or extending this skill's guidance to a harness not yet covered

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

More skills from this repository

3d-rotation-theory

Free

Abstract math for 3D rotation representations and conversions. USE FOR: understanding axis-angle representation; Euler angles (yaw/pitch/roll, convention choices); rotation matrices (SO(3)); quaternion-based rotation; converting between representations; identifying and avoiding gimbal lock; composing rotations; half-angle formula; right-hand rule. DO NOT USE FOR: quaternion arithmetic details (use quaternion-algebra); slerp/lerp interpolation (use interpolation-on-manifolds); coordinate system definitions (use coordinate-system-conversions).

The English summary is being prepared. Showing the original description.

NetFabric/NetFabric.Numerics36Updated Aug 10, 2026

agent-graph-orchestration

Free

Design and scaffold multi-agent squads/swarms using the graph orchestration pattern (nodes = agents, edges = dependencies/data flow). USE FOR: designing a coordination topology for a multi-agent squad (sequential pipeline, parallel fan-out/aggregation, branching, feedback loop, cyclic); building an orchestrator agent that delegates to specialist agents; setting up an adversarial/tribunal code or document review with independent reviewers; scaffolding a squad's agent files for a target coding-agent harness (e.g. Copilot CLI or Claude Code custom agents). DO NOT USE FOR: authoring a single agent's frontmatter/prompt body (use copilot-cli-custom-agents, claude-code-custom-agents, or the target harness's own skill); SKILL.md authoring (use create-skill); ad-hoc multi-agent chat with no explicit topology.

The English summary is being prepared. Showing the original description.

NetFabric/NetFabric.Numerics36Updated Aug 10, 2026

agent-harness-logs

Free

Find, inspect, query, redact, and troubleshoot logs, transcripts, sessions, and OpenTelemetry data from coding-agent harnesses on Windows, macOS, Linux, and WSL. USE FOR: GitHub Copilot in VS Code; Copilot CLI; Claude Code; OpenAI Codex; Gemini CLI; OpenCode; Cursor, Windsurf, Kiro, or other VS Code-family editors; locating log files; diagnosing tool or model failures; correlating turns, subagents, and tool calls; querying JSONL, plaintext, or SQLite without spending model tokens; preparing sanitized diagnostics. DO NOT USE FOR: application logs unrelated to coding agents; uploading raw logs; treating unstable transcript schemas as public APIs.

The English summary is being prepared. Showing the original description.

NetFabric/NetFabric.Numerics36Updated Aug 10, 2026

agents-md

Free

Author and maintain AGENTS.md files — the open, tool-agnostic format for giving coding agents project context. Use when: creating AGENTS.md; writing an agent instructions file; root or nested AGENTS.md for monorepos; migrating CLAUDE.md, AGENT.md, .cursor/rules, or copilot-instructions.md to AGENTS.md; greenfield project setup before code exists; brownfield onboarding for an existing codebase; documenting build/test/lint commands, code style, PR/commit conventions, and security considerations for agents; AGENTS.md discovery and precedence rules. Works for any language, framework, or project size. DO NOT USE FOR: authoring SKILL.md skill files (use create-skill); APM package/plugin authoring (use apm-producer); language-specific style rules (use language skills e.g. csharp-best-practices).

The English summary is being prepared. Showing the original description.

NetFabric/NetFabric.Numerics36Updated Aug 10, 2026

angles-and-circular-arithmetic

Free

Abstract math for angle measurement, unit systems, and circular arithmetic. USE FOR: implementing angle types; converting between degrees/radians/gradians/revolutions; reducing angles to canonical range [0, Full); computing reference angles and quadrants; implementing safe modular arithmetic with negative inputs; angle addition and subtraction; classifying angles by sign and size. DO NOT USE FOR: trigonometric functions (use trigonometric-functions); coordinate conversions (use coordinate-system-conversions); interpolation (use interpolation-on-manifolds).

The English summary is being prepared. Showing the original description.

NetFabric/NetFabric.Numerics36Updated Aug 10, 2026

claude-code-custom-agents

Free

Create and maintain Claude Code custom subagents (.claude/agents/*.md files). USE FOR: authoring project (.claude/agents/) or user (~/.claude/agents/) subagent files; frontmatter fields (name, description, tools, disallowedTools, model, permissionMode, maxTurns, skills, mcpServers, hooks, memory, background, effort, isolation, color, initialPrompt); writing descriptions that drive automatic delegation and 'use proactively' phrasing; invoking subagents via natural language, @-mention, session-wide --agent, or the Agent tool; restricting which subagent types a coordinator can spawn with Agent(name1, name2); nested subagents and depth limits; built-in subagents (Explore, Plan, general-purpose, claude); troubleshooting a subagent that won't load or isn't invoked. DO NOT USE FOR: GitHub Copilot CLI custom agents (use copilot-cli-custom-agents); agent teams/teammates (a different, session-spanning feature); MCP server authoring; SKILL.md authoring (use create-skill).

The English summary is being prepared. Showing the original description.

NetFabric/NetFabric.Numerics36Updated Aug 10, 2026

See all skills by NetFabric

Report a problem with this skill

Install

Install with a command

npx skills add https://github.com/NetFabric/NetFabric.Numerics --skill model-selection

Paste it into your terminal and run it (requires Node.js). You can choose which agents to install it for, such as Claude Code or Codex.

Ask your agent

Please install the following Agent Skill.
https://github.com/NetFabric/NetFabric.Numerics/tree/main/.agents/skills/model-selection

First review SKILL.md and the bundled files and confirm there is nothing suspicious (such as sending data externally or reading credentials). Then place it in ~/.claude/skills/model-selection/ for Claude Code, or ~/.agents/skills/model-selection/ for Codex.

Send this text to Claude Code or Codex as is. It checks the contents before installing.

View source on GitHub

Repository: NetFabric/NetFabric.Numerics
Stars: 36
Forks: 1
Category: Data & AI
License: MIT
Original language: English
Last updated: Aug 10, 2026

A skill is a set of instructions and scripts for an agent. cccskills does not guarantee that skills are safe. Review the contents before you install.