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BF qdrant-vertical-scaling

Guides Qdrant vertical scaling decisions. Use when someone asks 'how to scale up a node', 'need more RAM', 'upgrade node size', 'vertical scaling', 'resize cluster', 'scale up vs scale out', or when memory/CPU is insufficient on current nodes. Also use when someone wants to avoid the complexity of horizontal scaling.

github/awesome-copilot Agent Skills author: github MIT 1 file body ≈ 1 002 tokens Open the sourcegithub.com↗ analyzed 35 h ago

Guides Qdrant vertical scaling decisions.

As a process F 30/100 · Will not run — References files that are not bundled: ../../../qdrant-monitoring/SKILL.md, ../horizontal-scaling/SKILL.md

ProcedureInfrastructureAI and agentsWriting and documentstype 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
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
F
30/100
Will not run
References files that are not bundled: ../../../qdrant-monitoring/SKILL.md, ../horizontal-scaling/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

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: ../../../qdrant-monitoring/SKILL.md
  • warning missing-ref reference to a missing file: ../horizontal-scaling/SKILL.md

Process rating: all ten parameters 30/100

Will not run. References files that are not bundled: ../../../qdrant-monitoring/SKILL.md, ../horizontal-scaling/SKILL.md
  • 0Tools and files. 2 referenced file(s) missing: ../../../qdrant-monitoring/SKILL.md, ../horizontal-scaling/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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (qdrant-vertical-scaling) differs from the folder (vertical-scaling)
  • 100Steps. 29 steps
  • 100Execution cost. Instruction body is 1002 tokens
  • 100Progress reporting. Reports progress

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 318: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 29 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.