skills.rest
Kgan01
Kgan01COMMUNITY
Explore all skills by this author →
GitHub

compute-adaptation

Define four-tier compute degradation policies with capability flags and recovery rules.

6|Updated Apr 7, 2026
Search Tags:#resilience#tiering#rate-limits#agent-workflows#graceful-degradation#budget-management#compute-adaptation
One-click install
npx skills add https://github.com/Kgan01/ghengis-skills --skill compute-adaptation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: compute-adaptation
Source: https://github.com/Kgan01/ghengis-skills/tree/main/plugins/ghengis-skills/skills/compute-adaptation
Command: npx skills add https://github.com/Kgan01/ghengis-skills --skill compute-adaptation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Graceful degradation is needed when compute resources are constrained; this Skill provides structured strategies to keep agent workflows operating instead of failing when limits are encountered.

Core Features & Use Cases

  • Four-tier compute model (NORMAL, LOW, CRITICAL, OFFLINE) with defined capabilities.
  • Tiered policies and explicit capability flags to govern actions at each tier.
  • Recovery and upgrade paths to regain full functionality when resources return.
  • Use cases include scaling agent teams under budget limits, handling rate-limiting scenarios, and offline queuing for later execution.

Quick Start

Switch to an appropriate compute tier when limits are reached and automatically apply the degradation strategy.

Frequently Asked Questions about compute-adaptation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I keep agent workflows running when hitting API rate limits?▼

Graceful degradation strategies keep agent workflows running during rate limits by applying a four-tier compute model that automatically downgrades capabilities and switches to fallback behavior.

What is graceful degradation for AI agents under compute budget constraints?▼

Graceful degradation for constrained compute uses tiered policies and feature flags to scale agent teams, limiting actions during budget exhaustion instead of failing the entire workflow.

How do I implement fallback plans for provider outages in agent workflows?▼

Fallback plans for provider outages are implemented by switching workflows to the OFFLINE compute tier, enabling offline queuing for later execution, and applying recovery paths when resources return.

Can I automatically recover full agent functionality after compute limits reset?▼

Yes, recovery and upgrade paths automatically restore full functionality when compute limits reset, transitioning the agent workflows back from degraded tiers to the NORMAL operating state.

Does this compute adaptation approach work for scaling multiple agent teams?▼

Compute adaptation supports scaling agent teams by applying explicit capability flags at each tier, ensuring budget limits and rate-limiting scenarios govern actions without crashing the workflow.

What are the limitations of using tiered compute policies for agent resilience?▼

Tiered compute policies limit available capabilities during degraded states, meaning agent workflows will operate with reduced functionality or queue tasks offline rather than executing at full capacity.

Related Skills

Explore More Software Engineering Skills→
bbsbotbbsbot
1

Session Management Skill v1.0

Track tool calls and token usage against configurable session budgets.

Community
Advanced
thingpersonthingperson

free-tier-audit

Audit usage against free-tier limits for Vercel, Supabase, RAWG, and other services.

Community
Intermediate
marquesfelipmarquesfelip

sla-slo-sli-design

Define SLIs, SLOs, and error budgets for service reliability targets.

Community
Advanced
wade56754wade56754

ai-ad-agents-test-orchestrator

Orchestrate static test inspections to gate AI agent deployments.

Community
Advanced