analytical-grounding
Retrieve canonical pathway members, cell-type marker records, and genomic interval feature overlaps from declared analytical sources.
Skill by yo-steven
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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What's inside
- Skill name
analytical-grounding- Description
- Retrieve canonical pathway members, cell-type marker records, and genomic interval feature overlaps from declared analytical sources.
- License
- Apache-2.0
- Instructions
- 90 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Analytical Grounding
Use this skill for source-declared records that ground an analytical statement,
without asking Genomi to choose the interpretation.
## Use When
- The input is a controlled pathway or gene-set name/id and the agent needs its
canonical member genes.
- The input is a controlled cell type and the agent needs marker-gene records.
- The input is a genomic interval and the agent needs overlaps against declared
GENCODE or ENCODE annotation files.
## Operations
- `pathway.retrieve_members`: retrieve Reactome, KEGG human pathway, or
supplied or installed MSigDB Hallmark GMT member genes. Use a source for
free-text pathway names unless the identifier prefix makes the source clear.
- `cell_type.retrieve_markers`: retrieve HPA single-cell marker
records, installed CellMarker/PanglaoDB tables, or supplied marker tables.
- `region.retrieve_features`: retrieve interval overlaps from
supplied or installed GENCODE GTF and/or ENCODE cCRE BED files for
GRCh37/GRCh38. Supply `assembly`; without it the tool reports unsupported
assembly instead of guessing a genome build.
## Boundaries
- These are retrieval verbs over declared source coverage.
- Do not use them as experimental protocol recommendations, workflow templates,
or free-text biological interpretation.
- Treat `coverage_status` literally:
- `data_returned`: declared source records were returned.
- `in_scope_empty`: the input was in declared scope, and no records matched.
- `out_of_scope_for_input`: the source, assembly, identifier, or required
source file is outside declared coverage.
- Preserve source priors. A pathway member, marker gene, interval overlap, or
druggable-target membership row is evidence context, not a selected answer.
## Examples
- `pathway.retrieve_members` with `{"pathway_id_or_name":"R-HSA-70635"}`
- `pathway.retrieve_members` with `{"pathway_id_or_name":"hsa00010"}`
- `cell_type.retrieve_markers` with `{"cell_type_id_or_name":"hepatocytes","source":"hpa"}`
- `cell_type.retrieve_markers` with `{"cell_type_id_or_name":"Hepatocyte","source":"cellmarker"}`
- `region.retrieve_features` with `{"region":"1:1000-1250","assembly":"GRCh38"}`
The installer can cache `gencode-grch38`, `gencode-grch37`,
`encode-ccre-grch38`, `panglaodb-markers`, and `cellmarker-human` under
`GENOMI_HOME`. MSigDB Hallmark requires a user-supplied official GMT export.
## Cross-Capability Synthesis
A scope-limited result from this capability is not a final user-facing answer
when other Genomi capabilities can contribute orthogonal evidence to the same
question. Returning "cannot answer" while applicable capabilities remain
unexamined is a host-agent failure mode.
## Tools
### cell_type.retrieve_markers
Retrieve canonical marker genes for a controlled cell-type source entity.
**Use when**: Returns source-declared marker genes for HPA single-cell records or supplied CellMarker, PanglaoDB, or ENCODE marker tables.
**Why necessary**: Cell-type identity questions need marker records, not disease genetics or GWAS evidence.
**Result semantics**: Returns marker records only; it does not annotate clusters, assign cell identities, rank cell types, or interpret cell states. Free-text cluster IDs and hypothetical cell-state labels are out of scope.
### pathway.retrieve_members
Retrieve canonical member genes for a controlled pathway or gene-set source entity.
**Use when**: Returns source-declared member genes for Reactome pathways, KEGG human pathways, or supplied MSigDB Hallmark GMT gene sets.
**Why necessary**: Pathway membership is a grounding fact and should be retrieved separately from disease or variant claims.
**Result semantics**: Returns pathway membership records only; it does not infer pathway activity, choose genes, or summarize pathway biology. Free-text pathway names should include source unless the identifier prefix implies a declared source.
### region.retrieve_features
Retrieve genomic-region feature annotations from supplied or installed GENCODE and ENCODE annotation files.
**Use when**: The user or an upstream tool supplies a genomic interval and the agent needs transcript or regulatory-feature overlaps for an explicit GRCh37 or GRCh38 assembly.
**Why necessary**: Genomic coordinates need gene and regulatory feature context before they can be biologically discussed.
**Result semantics**: Returns source-declared interval overlaps for the assembly shown in query. Empty results mean no overlap in declared files, not biological absence outside declared coverage.From yo-steven/genomi-exploration-20260613, Apache-2.0.
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Signals
- Stars
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- Forks
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- Open issues
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- Last commit (this folder)
- Jun 13, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
analytical-grounding skill. Agent Mart. https://agentmart.dev/skills/yo-steven-analytical-grounding (last updated 2026-10-24)