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/index

Reindexes KB for semantic search via vector store (Qdrant). Triggers: reindex KB, rebuild index, vector reindex, refresh embeddings.

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ai-toolkit
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Install
$ npx -y skills add softspark/ai-toolkit --skill index --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/index

Context preview

The summary Claude sees to decide when to auto-load this skill.

Reindexes KB for semantic search via vector store (Qdrant). Triggers: reindex KB, rebuild index, vector reindex, refresh embeddings.

SKILL.md

index.SKILL.md
name: index
description: "Reindexes KB for semantic search via vector store (Qdrant). Triggers: reindex KB, rebuild index, vector reindex, refresh embeddings."
effort: low
disable-model-invocation: true
argument-hint: "[path or scope]"
allowed-tools: Bash

Knowledge Base Indexing

$ARGUMENTS

Reindex the knowledge base for semantic search.

> **Prerequisite**: This command requires a vector store (e.g., Qdrant) and an indexing pipeline configured for your project. If not configured, this command provides guidance on setup.

Usage

/index              # Incremental index (detect changes)
/index --full       # Full rebuild

Execution

Direct Execution

# Incremental index (auto-detects changes)
make index

# Full rebuild
make index-full

Docker Execution

docker exec {app-container} make index
docker exec {app-container} make index-full

Change Detection

The indexer uses content hashing to detect changes:

| Scenario | Action | |----------|--------| | New document | Index | | Changed content | Reindex | | No changes | Skip | | Deleted document | Remove from index |

Frontmatter Validation

Before indexing, ensure all KB documents have valid frontmatter:

---
title: "Document Title"
service: {service-name}
category: reference|howto|procedures|troubleshooting|decisions|best-practices
tags: [tag1, tag2]
last_updated: "YYYY-MM-DD"
---

Troubleshooting

| Problem | Solution | |---------|----------| | Index not updating | Check file timestamps, run full rebuild | | Missing documents | Verify frontmatter is valid | | Slow indexing | Check embedding service performance | | No vector store | Set up Qdrant or compatible vector DB |

Rules

  • **MUST** require explicit user permission before running `make index` or `make index-full` — never self-trigger
  • **NEVER** trigger a full rebuild to "clean up" unless the user asked for it
  • **CRITICAL**: validate KB frontmatter before indexing — abort on invalid documents rather than indexing a broken state
  • **MANDATORY**: respect change-detection hashes; do not force reindexing of unchanged documents

Gotchas

  • Content-hash change detection keys on the file's content AND path. A **moved** document (same content, new path) looks new to the indexer — both the old path vector and the new one will exist until a full rebuild. Plan a full rebuild after mass reorganizations.
  • Deleting a document on disk does not automatically remove its vectors from Qdrant; the indexer emits tombstones only if run with a directory scan. Without `--delete-missing`, orphan vectors stay for weeks.
  • Embedding providers rate-limit by requests-per-minute AND by tokens-per-minute. A reindex of 1000+ docs hits the token cap first and stalls silently — watch for 429s in the indexer log before concluding "slow indexing".
  • `make index-full` truncates the collection before re-embedding; if the embedding job crashes mid-way, the collection is left partially populated with no query-time indicator of the gap.

When NOT to Use

  • For searching the KB — use `/research-mastery` or call `smart_query()` via the rag-mcp tool
  • For fixing indexing bugs — use `/debug` on the indexer pipeline
  • To evaluate RAG quality after reindexing — use `/evaluate`
  • When no vector store is configured — document the gap, do not invent one
Read more
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