sandialabs

Identifies radioactive sources (nuclides, x-ray elements, nuclear reactions) in gamma-ray spectra using InterSpec MCP tools. Covers systematic peak investigation, source validation via energy matching and relative efficiency, the Ultimate Parent rule, and…

Gamma-ray spectrum analysis via the InterSpec MCP server. Provides tools for loading spectra, fitting peaks, identifying radioactive sources (nuclides, x-rays, reactions), calculating decay, determining detection limits (MDA), fitting source activities and…

Determines radioactive source activities and shielding parameters from identified peaks using InterSpec MCP tools. Covers fitting modes, geometry configuration, shielding models, trace sources, age fitting, and result interpretation. Use when fitting source…

Adjusts energy calibration of gamma-ray spectra using NORM peaks (K-40, Th-232) via InterSpec MCP tools. Covers checkpoint management, calibration peak selection and validation, gain-only fitting, and multi-spectrum calibration. Use when peaks appear shifted…

Performs isotopic ratio analysis (enrichment, burn-up) for Plutonium and Uranium from gamma-ray spectroscopy using InterSpec MCP tools. Covers preset selection, configuration, relative efficiency fitting, ROI management, and result evaluation. Use when…

Background on common reaction channels that can contribute to or be discussed with the ~477 keV spectral feature, especially lithium and boron reaction pathways.

Use this skill when authoring or modifying Canary tests or job definitions, especially Python .pyt tests, parameters, dependencies, assets, artifacts, and resource requirements.

Use this skill when implementing or modifying Canary plugins, generators, hooks, launchers, reporters, resource integrations, or extension documentation.

Use this skill when you need to understand what Canary is, when to use it, and how to discover detailed Canary capabilities without loading the full documentation.

Use this skill when running Canary tests or workflows, inspecting failures, querying job/session state, reproducing a job, or debugging resource and dependency problems.

Use this skill when orchestrating Canary workflows, dependency chains, post-processing, structured measurements, reports, or agentic result-analysis loops.

Generate talkpipe.sources and talkpipe.segments entry points from @register_source/@register_segment decorators and update pyproject.toml. Use when adding new sources or segments to TalkPipe, or when entry points are out of sync with the codebase.

Update CHANGELOG.md following TalkPipe conventions. Use after implementing a feature, fixing a bug, or making any user-facing change. Ensures correct "update vs add" logic and entry format.

Format code examples in markdown documentation for TalkPipe. Use when writing or editing doc examples. Covers unindented fences, standalone vs fragment intent, and skip-extract. Complements run-documentation-examples which runs the examples.

Follow TalkPipe TDD workflow when making code changes. Use when implementing features, fixing bugs, or refactoring. Enforces write-fail-fix-pass order and test placement conventions.

Extract Python examples from markdown docs and run them (including LLM examples). Use when validating documentation, after doc changes, or to verify all doc examples execute correctly.