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BF qdrant-scaling

Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'.

github/awesome-copilot Agent Skills author: github MIT 1 file body ≈ 384 tokens Open the sourcegithub.com↗ analyzed 29 h ago

Guides Qdrant scaling decisions.

As a process F 35/100 · Will not run — References files that are not bundled: scaling-data-volume/SKILL.md, scaling-qps/SKILL.md, minimize-latency/SKILL.md

ProcedureAI and agentstype and topics are labelled automatically from the skill text
Runs in: GitHub Copilot / VS Code Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: scaling-data-volume/SKILL.md, scaling-qps/SKILL.md, minimize-latency/SKILL.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: RA-Skills

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scaling-data-volume/SKILL.md
  • warning missing-ref reference to a missing file: scaling-qps/SKILL.md
  • warning missing-ref reference to a missing file: minimize-latency/SKILL.md
  • warning missing-ref reference to a missing file: scaling-query-volume/SKILL.md

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: scaling-data-volume/SKILL.md, scaling-qps/SKILL.md, minimize-latency/SKILL.md
  • 0Tools and files. 4 referenced file(s) missing: scaling-data-volume/SKILL.md, scaling-qps/SKILL.md, minimize-latency/SKILL.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Steps. 4 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 384 tokens
  • 100Running it twice. No mutating operations

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 246: enough signal without eating the budget
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 4 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.