Explore Agent Skills

Bayesian inference and probabilistic modeling for geospatial data. Use when building hierarchical models, computing posteriors with PyMC or TFP, performing variational inference, model comparison (LOO/WAIC/DIC), or spatial Gaussian processes.

Generative geospatial art and cartographic visualization. Use when creating artistic map visualizations, generative spatial art, interactive cartographic displays, animation sequences, or aesthetically-focused geographic rendering.

Application framework for geospatial dashboards and web interfaces. Use when building spatial dashboards, map-based UIs, agent control widgets, interactive geospatial web applications, or configuring agent parameters through forms.

REST and GraphQL API endpoints for geospatial services. Use when building API routes, defining spatial query endpoints, or exposing GEO-INFER functionality as web services.

Ant Colony Optimization and swarm intelligence for geospatial problems. Use when solving spatial optimization with ACO, PSO, ABC algorithms, implementing stigmergic coordination, or optimizing geographic routing and resource allocation with bio-inspired methods.

Machine learning pipelines and model selection for geospatial AI. Use when training spatial ML models, building prediction pipelines, performing feature engineering on geographic data, or selecting between ML approaches for spatial problems.

Multi-agent geospatial systems with Active Inference. Use when building spatial agents, implementing perception-action loops, managing agent telemetry, or coordinating multi-agent spatial exploration.

Precision agriculture and soil health modeling. Use when analyzing soil health, crop water usage (FAO-56), carbon sequestration (IPCC Tier 1), precision farming, or agricultural land management.

Canonical GEO-INFER Active Inference implementation. Use when implementing or reviewing free-energy minimization, belief updating, generative models, policy selection, H3/spatial active inference, or typed ACT diagnostics.

Use when the user wants a research-paper figure Skill Factory: build, patch, package, or use reusable specialized paper-figure-making skills from lawful literature/corpus evidence. Generated skills must use a specialized-skill-first workflow, full-feasible local PDF coverage where available, startup-plan-only first replies, target-paper candidate/final image isolation, mandatory image-embedded visual-structure explanation, mandatory non-target concept/modeling example display for abstract visual decisions, saved subtype/style illustration atlases, ChatGPT web Create image / ChatGPT Images 2.0 rendering, Codex $imagegen-first rendering, sample-image transfer rules, all-step/current-position state footers, and a mandatory first-round diverse candidate board followed by P6b/P6c paper-local best-practice optimization before final prompt construction.

Inserts, formats, and cross-references academic citations in docx. Invoke when user needs to insert references, fix citation order, add cross-reference hyperlinks, or reformat bibliography to Chinese (GB/T 7714) or international (IEEE/APA) standards.

Insert, format, and number math formulas in Word and LaTeX academic papers. Supports Chinese core journals and international journal formats. Invoke when user needs to insert LaTeX formulas into Word (OMML), validate formula formats per journal standards, or auto-number equations.

Insert, format, and cross-reference academic citations in Word (.docx) documents. Supports GB/T 7714-2015, IEEE, APA 7th.

Insert, format, and cross-reference academic citations in Word (.docx) documents. Supports GB/T 7714-2015 (Chinese), IEEE, and APA 7th.

Generate AI-friendly repository documentation with the SourceSage CLI. Use when Codex needs to run `sage` or `sourcesage` to create `.SourceSageAssets/Repository_summary.md`, analyze the current repository or another local repository, switch the output language between English and Japanese, use `--lite` to keep the summary small, change the output directory, or optionally create a deprecated tag-diff release report with `--diff`.

OctoClaw is the TypeScript-first policy, delegation, status, and operator layer for OpenClaw. Use it when a turn should be routed through reply/delegate policy, WorkContract-backed delegation, runtime status, IM delivery, or feedback-loop tooling.