alebgl77/tierdecay

The self-distilling model router for AI coding CLIs — solve each problem class at the expensive tier once, execute it cheap forever. Just markdown, no proxy.

1Stars on the repository
10Mods indexed here, across every type
1mo agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

execution-standards

01

alebgl77/tierdecay

Skill Claude CodeCodex

Shared implementation discipline for executor agents — conventions, testing, diff hygiene, reporting. Preloaded into executor and heavy-executor via their skills frontmatter.

1 1mo ago A 35 tokens original MIT

model-routing

02

alebgl77/tierdecay

Skill Claude CodeCodex

Complexity-based routing of tasks across four model tiers — frontier (T3), strong workhorse (T2), fast executor (T1), cheapest recon (T0). Use when planning any multi-step work, when deciding which subagent should execute a task, when writing a dispatch brief, or when an executor fails and escalation is needed.

1 1mo ago A 72 tokens original MIT

repo-playbook

03

alebgl77/tierdecay

Skill Claude CodeCodex

Repo-specific execution patterns distilled from higher-tier (Opus/Fable) solutions via the tier-decay protocol. Preloaded into executor and heavy-executor at startup. Written ONLY by the main thread — executors read, apply, and report; they never edit this file.

1 1mo ago A 59 tokens original MIT

tier-decay

04

alebgl77/tierdecay

Skill Claude CodeCodex

Post-completion distillation protocol that converts high-tier solutions into cheaper-tier playbook entries and recalibrates routing from real outcomes. Use after completing any [T2] or [T3] task, when logging a task outcome to the routing ledger, when a playbook probe passes or fails, or when a class keeps escalating.

1 1mo ago A 71 tokens original MIT