fallback-to-calling-agent
SolidUniversal try-catch fallback for the aevatar model. Use whenever, after a genuine attempt, you cannot complete the user's request with available server-side capabilities — no matching skill/workflow/connector/tool, a terminal failure, or a task that inherently needs the caller's local environment (files, shell, local context). Instead of failing opaquely or fabricating, return the original request verbatim to the calling agent so it can finish with its own local tools. Generic by design — addresses "the calling agent" with no hardcoded client or skill names.
Install
Quality Score: 78/100
Skill Content
Details
- Author
- ChronoAIProject
- Repository
- ChronoAIProject/NyxID
- Created
- 5 months ago
- Last Updated
- today
- Language
- Rust
- License
- Apache-2.0
Integrates with
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
efficient-fable
Use when running an expensive frontier model on codebase-heavy or token-heavy work and the user wants that model to orchestrate, architect, synthesize, and final-judge while cheaper helper agents do bounded heavy lifting (large repo scans, long log reduction, narrow code patches, browser/test verification, etc.). Trigger on requests like "delegate this efficiently", "save tokens on this", "use cheap subagents for the heavy parts", or any task where the expensive model's judgment matters but its throughput does not. Treat subagent reports as leads, not facts — always vet before shipping. Do NOT trigger for trivial single-step work, for high-stakes single-source-of-truth tasks (medical, legal, financial advice), or when no cheap subagents are available.
general
General-purpose catch-all mode.
agent-routing
Decide which model (Haiku/Sonnet/Opus) and effort level each subagent gets, when to cascade cheap-first behind a verifier, and how to run improvement loops safely (evaluator-as-selector, stop on regression). Covers the Managed Agents effort mechanics (per-agent effort levels, cost lever) and how to watch a subagent fan-out stream live so loop and escalation gates have something to observe. Use when spawning subagents via the Agent or Workflow tools, when fanning out more than a handful of agents, or when the user asks which model or effort a task should route to. Routing heuristics grounded in measured calibration data (references/calibration-2026-07-15.md), not vibes; the Managed Agents API specifics are operational, not calibrated.