SKILLEMALL.ai

BC research-audience

Audience research: who the buyers are, in their own words, where they gather and how to reach them — plus named prospect lists when asked. Use when the marketer says "research our audience", "who should we target", "mine our reviews", "why do people buy us or leave", "where does our audience hang out"; or for lists: "find 50 right-fit leads with emails", "find retailers or accounts to pitch", "score these leads / who do we call first", "who's looking for an alternative to X", "tell me when a past champion changes jobs". Reads the brand's own customer data first and delivers a readable report saved to the brand. Never contacts anyone. Not for market size or trends — use research-market; not for writing the messages — use write-outreach.

gooseworks-ai/goose-skills Agent Skills author: gooseworks-ai 16 files body ≈ 4 530 tokens Open the sourcegithub.com↗ analyzed 3 d ago

Audience research: who the buyers are, in their own words, where they gather and how to reach them — plus named prospect lists when asked.

As a process C 63/100 · Has gaps — References files that are not bundled: ../research-audience-segment-pass/SKILL.md, ../write-report/SKILL.md, ../marketing-guide/SKILL.md

ProcedureMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
63/100
Has gaps
References files that are not bundled: ../research-audience-segment-pass/SKILL.md, ../write-report/SKILL.md, ../marketing-guide/SKILL.md
Tools and files w 18
0
Running it twice w 4
30
When it triggers w 12
50
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: goose-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: 15. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../research-audience-segment-pass/SKILL.md
  • warning missing-ref reference to a missing file: ../write-report/SKILL.md
  • warning missing-ref reference to a missing file: ../marketing-guide/SKILL.md
  • warning missing-ref reference to a missing file: ../claims-gate/SKILL.md
  • warning missing-ref reference to a missing file: ../outcomes-ledger/SKILL.md
  • warning missing-ref reference to a missing file: ../save-to-brain/SKILL.md
  • warning missing-ref reference to a missing file: ../spend-gate/SKILL.md
  • warning missing-ref reference to a missing file: ../save-learning/SKILL.md

Process rating: all ten parameters 63/100

Will not run. References files that are not bundled: ../research-audience-segment-pass/SKILL.md, ../write-report/SKILL.md, ../marketing-guide/SKILL.md
  • 0Tools and files. 8 referenced file(s) missing: ../research-audience-segment-pass/SKILL.md, ../write-report/SKILL.md, ../marketing-guide/SKILL.md
  • 30Running it twice. 10 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 4530 tokens
  • 100Steps. 23 steps
  • 100Result and completion. Output format and completion criterion are stated
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (16 tags): a typed call is more reliable

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

  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 10 example trigger phrases
  • +4Description says when NOT to use the skill
  • +3Description length 745: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 23 items
  • +3Output format is stated explicitly
  • +4Reference files are cited in the instructions (4 of 13)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.