SocratiCode Management

SkillFiles & storage

Set up, index, and manage SocratiCode codebase indexing. Use when the user wants to index a project, check infrastructure health, start/stop file watching, configure context artifacts, troubleshoot indexing issues, manage the code graph, or any SocratiCode administrative task. Activates when the user mentions indexing, setting up search, SocratiCode infrastructure, or managing the codebase index.

Use SocratiCode Management in Claude, ChatGPT or Ahel Desktop

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Also: Claude Code · Cursor · Codex

Then ask your AI: use the SocratiCode Management skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

SocratiCode ManagementStart free

What this skill tells your AI

The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/giancarloerra/socraticode/skills/codebase-management/SKILL.md and read by ahel’s review.

Set up, index, and manage SocratiCode codebase indexing, file watching, code graphs, and context artifacts.

First-Time Setup

  1. Check infrastructure: codebase_health — verifies Docker, Qdrant, Ollama/embedding provider, and embedding model
  2. Start indexing: codebase_index — runs in background, returns immediately
  3. Poll progress: codebase_status — call every ~60 seconds until 100% complete
    • This also keeps the MCP connection alive (some hosts disconnect idle connections)
  4. Done: Graph auto-builds after indexing. File watcher auto-starts. Ready to search.

On first use, SocratiCode automatically pulls Docker images, starts containers, and downloads the embedding model (~5 min one-time setup).

Incremental Updates & File Watching

The file watcher keeps the index automatically updated. It auto-starts after indexing.

  • codebase_watch { action: "start" } — start the watcher (runs catch-up update first)
  • codebase_watch { action: "stop" } — stop the watcher
  • codebase_watch { action: "status" } — list watched projects (including cross-process)
  • codebase_update — manual incremental update (only changed files, synchronous). Usually not needed if watcher is active.

Managing Indexes

  • codebase_stop — gracefully pause in-progress indexing. Current batch finishes and checkpoints. All progress preserved. Resume with codebase_index.
  • codebase_remove — delete entire index (destructive). Safely stops watcher, cancels indexing, waits for graph builds.
  • codebase_list_projects — list all indexed projects with metadata, graph info, and artifact status.

Managing the Code Graph

The dependency graph is auto-built after indexing. Manual management is rarely needed.

  • codebase_graph_build — manually rebuild (background, async). Poll with codebase_graph_status.
  • codebase_graph_remove — delete graph (auto-rebuilds on next codebase_index)
  • codebase_graph_status — check build progress or graph readiness

Context Artifacts Setup

To index non-code knowledge, create .socraticodecontextartifacts.json in the project root:

{
  "artifacts": [
    {
      "name": "database-schema",
      "path": "./docs/schema.sql",
      "description": "PostgreSQL schema — all tables, indexes, constraints, foreign keys."
    }
  ]
}

Supported types: SQL schemas, OpenAPI/Protobuf API specs, Terraform/CloudFormation configs, Kubernetes manifests, architecture docs, environment configs — any text-based file or directory.

  • codebase_context_index — manually index/re-index all artifacts (usually auto-triggered)
  • codebase_context_remove — remove all indexed artifacts (blocked during indexing)

Troubleshooting

ProblemSolution
Docker not availableInstall Docker Desktop from https://docker.com, ensure it's running
Slow indexing on macOS/WindowsDocker can't use GPU. Install native Ollama from https://ollama.com/download for Metal/CUDA acceleration. Or use cloud embeddings.
Want cloud embeddings insteadSet EMBEDDING_PROVIDER=openai + OPENAI_API_KEY, or EMBEDDING_PROVIDER=google + GOOGLE_API_KEY
Search returns no resultsCheck codebase_status — project may not be indexed. Run codebase_index.
Stale resultsCheck if watcher is active (codebase_status). Run codebase_update or codebase_watch { action: "start" }.
Indexing was interruptedRun codebase_index again — it resumes from the last checkpoint automatically.
Another process is indexingcodebase_status detects cross-process indexing. Wait for it, or use codebase_stop.

Key Environment Variables

VariableDefaultDescription
QDRANT_MODEmanagedmanaged (Docker) or external (remote/cloud Qdrant)
QDRANT_URL—Full URL for remote Qdrant (e.g. https://xyz.cloud.qdrant.io:6333)
QDRANT_API_KEY—API key for remote Qdrant
EMBEDDING_PROVIDERollamaollama, openai, or google
OPENAI_API_KEY—Required when EMBEDDING_PROVIDER=openai
GOOGLE_API_KEY—Required when EMBEDDING_PROVIDER=google
OLLAMA_MODEautoauto (detect native, fallback Docker), docker, external
EMBEDDING_MODELnomic-embed-textModel name (provider-specific)
SEARCH_DEFAULT_LIMIT10Default result limit for codebase_search (1-50)
SEARCH_MIN_SCORE0.10Default minimum RRF score threshold (0-1)
MAX_FILE_SIZE_MB5Maximum file size for indexing in MB
EXTRA_EXTENSIONS—Additional file extensions to index (e.g. .tpl,.blade,.hbs)

For full parameter details on every tool, see references/tool-reference.md.

Signals

GitHub stars
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Forks
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Last commit
Oct 2026
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Item type
skill
Key
codebase-management
Source
github.com/hashgraph-online/awesome-codex-plugins