SKILLEMALL.ai

BB value-proposition-canvas

Run a Value Proposition Canvas workshop through both phases — Customer Profile and Value Map — with Socratic dialogue as the adversarial engine. Primary mode is **research ingestion** (user brings transcripts, the agent structures them into Jobs / Pains / Gains, then maps Pains to Pain Relievers and Gains to Gain Creators with explicit user acceptance gates between every step). The skill produces a fully-mapped VPC table for one segment or persona at a time, with **1-2 main Customer Jobs + 3-5 supporting, 3-5 Pains, 3-5 Gains, 1:1 mapping to Pain Relievers and Gain Creators, plus a Products & Services bundle**. Before the skill ends, the agent asks which prioritization framework to use next (default: Kano Model Strategist) and explains how it works. UVP drafting is **out of scope** (the user writes it after Kano). Secondary mode is **research collection** (no data yet → research plan first, then same pipeline). Use when the user has research data to structure, a persona or segment to map, or an idea that needs validation against real users before building.

ClawHub Agent Skills author: Monika Zapisek v0.1.0 MIT-0 7 files body ≈ 8 948 tokens Open the sourceclawhub.ai analyzed 2 d ago

Run a Value Proposition Canvas workshop through both phases — Customer Profile and Value Map — with Socratic dialogue as the adversarial engine.

As a process B 69/100 · Nearly there — weak spots: result and completion, execution cost, running it twice

ProcedureFigmaAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
78/100
safety, quality, tests
Safety 60%
100
Quality 40%
44
Run on models
none yet
Process rating
B
69/100
Nearly there
Running it twice w 4
30
Result and completion w 14
40
Execution cost w 6
40
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ClawHub

How to improve

  1. Shorten the description to 1024 characters.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1072 chars, limit 1024
  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Run a Value Proposition Canvas workshop through both phases — Cust… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning body-long SKILL.md body ≈ 8948 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "triggers"

Process rating: all ten parameters 69/100

  • 30Running it twice. 18 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 40Execution cost. Instruction body is 8948 tokens: crowds the task out of the window
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Failures and branches. 13 branches
  • 85Steps. 167 steps, 3 vague phrases
  • 100When it triggers. States when to use and when not to
  • 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 13 top-level sections: this looks like several domains in one skill

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
  • +3Description length 1072: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +4Structure: 43 headings
  • +3Step-by-step instructions: 167 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 44.

External checks

ClawHub: clean
This documentation-only workshop skill organizes user-provided research into local Markdown files; the main caution is handling private research data carefully.
LLM: benign (high) · VirusTotal: · 9 Jul 2026