Resolve free-text hierarchy references to numeric node IDs via CSV lookup.
npx skills add https://github.com/SpecForgeAI/deepagent-bot --skill node-resolver
Please help me install this Agent Skill. Skill: node_resolver Source: https://github.com/SpecForgeAI/deepagent-bot/tree/main/skills/node_resolver Command: npx skills add https://github.com/SpecForgeAI/deepagent-bot --skill node-resolver
Resolves free-text business hierarchy references (desk names, team names, org paths) to numeric node IDs deterministically by searching a pre-indexed CSV. No LLM interpretation — this is pure deterministic lookup with fuzzy fallback.
Pass a desk name, team name, or hierarchy text to the Node Resolver to obtain the best node_id and candidate matches.
High-intent search queries and answers about installing and using this skill.
To resolve desk names to numeric node IDs, this Skill performs a deterministic CSV lookup by detecting ID and label columns, then returning a JSON payload containing the matched node_id, confidence, and evidence. It uses no LLM interpretation for the primary match.
When exact hierarchy text matching fails, node_id resolution applies an optional fuzzy fallback using token-overlap to generate candidate matches. It returns these candidates with confidence scores and supporting evidence to ensure downstream processing still has data.
No, node_id resolution does not require any dependencies or LLM integration to process organization paths. It is a pure deterministic lookup mechanism that searches a pre-indexed CSV to map free-text organization paths to numeric identifiers.
The best way to map noisy team names to identifiers for downstream data processing is using a deterministic lookup with fuzzy fallback. This approach returns a structured JSON payload with node_id, confidence, and candidates, avoiding the inconsistency of LLM interpretation.
The JSON output for resolving hierarchy references includes the resolved node_id, a confidence score, a list of fuzzy candidates, and supporting evidence. This structured format provides the exact data needed for downstream workflows requiring an identifier.
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