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LLM Pipeline Layering

Agent skill
1 skill

Design know-how for splitting a small local LLM's work across calls — by KIND of work (extract, then format/validate) and by ORDER (a call that judges an artifact must run after that artifact exists). Use when one generate() call is asked to do two things at once (decide-then-produce, extract-then-format), when a prompt's abstain path is a degenerate case of its output format and never fires, when choosing whether constrained decoding (format=/enum) helps or starves a task, when a reasoning model's chain-of-thought is being suppressed by an answer-only constraint, or when deciding where a quality gate belongs. NOT for choosing code vs LLM for a task in the first place (that is when-code-when-llm), NOT for the 4-layer code/LLM pipeline split (code-and-llm-collaboration), and NOT for fault injection at those seams (chaos-tdd-fault-injection / ADR-0077).

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Skill stats

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About this skill

Design know-how for splitting a small local LLM's work across calls — by KIND of work (extract, then format/validate) and by ORDER (a call that judges an artifact must run after that artifact exists). Use when one generate() call is asked to do two things at once (decide-then-produce, extract-then-format), when a prompt's abstain path is a degenerate case of its output format and never fires, when choosing whether constrained decoding (format=/enum) helps or starves a task, when a reasoning model's chain-of-thought is being suppressed by an answer-only constraint, or when deciding where a quality gate belongs. NOT for choosing code vs LLM for a task in the first place (that is when-code-when-llm), NOT for the 4-layer code/LLM pipeline split (code-and-llm-collaboration), and NOT for fault injection at those seams (chaos-tdd-fault-injection / ADR-0077).

Quick start

  1. Copy the install prompt. Use the green button above this README.
  2. Send it to your agent. Paste it into your coding agent’s chat and send.
  3. Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: 039aaf85f27464878385840c709e812def21b16e1562e17f27f05a3711c9102a

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About this listing

Category
Developer tools
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
LLM Pipeline Layering | Agent Skills Atlas