Evaluate specialized decision models for bounded graph-routing choices.
Editorial note checked 2026-10-29 against this instruction snapshot. Supporting scripts and runtime behavior remain outside this editorial review.
The source describes typed answer forms, thresholds and replacing some routing-only model calls. It treats question wording and answer interpretation as important parts of the design.
Teams investigating a repeated classification or routing step in an agent.
A cheaper routing mechanism can change error distribution. Thresholds need representative data, and typed output does not guarantee a correct decision.
Unknown; inspect source requirements and supporting scripts.
Inspect the pinned source snapshot and its supporting files first. The command selects this skill through the open-source skills CLI. Node.js and agent-specific setup may be required. Installation can download code. Catalog ingestion never executes skill instructions or install scripts.
npx skills add https://github.com/langchain-ai/langchain-skills/tree/126c384d8552dcb476b226c244172186cc3f4328/config/skills/langgraph-decision-models --skill langgraph-decision-modelsReview pinned skill folder ↗ · CLI documentation ↗
After source review, use npx skills check and npx skills update to inspect and apply upstream updates. Re-check changed instructions before running them.
Static review only. This is not a security audit or a guarantee of safety.
SKILL.md text only; scripts, dependencies and runtime behavior not audited.
Allowed tools declaration: Unknown. Runtime permissions and network behavior: Unknown.
86/100 · Metadata coverage 100% · Model 1.0
Scores summarize observable discovery signals. Popularity and repository activity apply to the whole repository. Unknown runtime safety earns no certification.
Identify a narrow routing task, collect labeled examples and define how uncertain answers should fall back or request review.
Compare false routes, abstentions, latency and costs on held-out examples, and retain a fallback before replacing the existing decision path.
Related by category; compare scope and dependencies before choosing an alternative.
Explore diagnosing superpowers as a automation & agents workflow from obra/superpowers. Compare its source, maintenance and review signals before choosing it for your agent.
Repository star change: +1264 over 41.38 hours. 2026-10-31
Explore using superpowers as a automation & agents workflow from obra/superpowers. Compare its source, maintenance and review signals before choosing it for your agent.
Repository star change: +1264 over 41.38 hours. 2026-10-31
Explore 10 andruia skill smith as a automation & agents workflow from sickn33/agentic-awesome-skills. Compare its source, maintenance and review signals before choosing it for your agent.
Repository star change: +147 over 41.38 hours. 2026-10-31
Configure a Deep Agents application around its harness and supported extension points.
Repository star change: +0 over 40.37 hours. 2026-10-31
Choose Deep Agents storage backends according to persistence and filesystem requirements.
Repository star change: +0 over 40.37 hours. 2026-10-31
Coordinate Deep Agents tasks with explicit delegation, planning and approval boundaries.
Repository star change: +0 over 40.37 hours. 2026-10-31