Vector Skills Retriever

Purpose

Use this skill when the task likely needs specialized domain knowledge, scripts, or references that are not already obvious from the current context.

This retriever uses embedding similarity only. It does not use graph edges, graph propagation, or lexical expansion.

Retrieve Relevant Skills

Run:

OPENROUTER_API_KEY="${OPENROUTER_API_KEY:-$OPENAI_API_KEY}" \
OPENAI_API_KEY="${OPENROUTER_API_KEY:-$OPENAI_API_KEY}" \
OPENAI_BASE_URL=https://openrouter.ai/api/v1 \
GOS_EMBEDDING_MODEL=openai/text-embedding-3-large \
GOS_EMBEDDING_DIM=3072 \
vectorskills-query "short description of the task or current subproblem"

Diagnostic rule: do not suppress stderr and do not replace failures with fallback text. If vectorskills-query fails, keep the original stderr visible and note the real exit code so the failure remains diagnosable.

Useful flags:

vectorskills-query "debug spring boot jakarta migration build errors" --top-n 5 --max-context-chars 9000
vectorskills-query "extract text from receipts into xlsx" --json

How To Use The Results

1. Start with a short task-level query.
2. Read the returned skill bundle.
3. Follow the retrieved skill instructions and inspect any referenced files under /opt/graphskills/skills//.
4. Re-query with a narrower subproblem if needed.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: davidliuk
• Source: davidliuk/graph-of-skills
• License: MIT

Install and usage instructions live in the source repository linked above.