BF ai-emotional-intelligence
Argues that emotional intelligence becomes strategically critical precisely because of AI -- not despite it -- and provides leaders with practices for developing the soft skills that constitute the human competitive advantage in an AI-saturated economy. Covers empathy, self-awareness, communication beyond technical details, curiosity, proactive problem-solving, trust-building through vulnerability, and coaching teams in EI. Use when an AI project is failing due to poor leadership connection, when technical leaders cannot engage the workforce emotionally, when employees feel reduced to data points, when building the case for soft skills investment alongside AI investment, or when developing the human capabilities that AI cannot replicate.
As a process F 46/100 · Will not run — References files that are not bundled: ../frameworks/emotional-intelligence.md, ai-stakeholder-balance.md, ai-human-centered-approach.md
How to improve
- For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- The text references files that are not there: add them or drop the references.
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 747 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period) - warning
body-longSKILL.md body ≈ 5494 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: ../frameworks/emotional-intelligence.md - warning
missing-refreference to a missing file: ai-stakeholder-balance.md - warning
missing-refreference to a missing file: ai-human-centered-approach.md - warning
missing-refreference to a missing file: ai-augmentation-not-automation.md - warning
missing-refreference to a missing file: ../leadership/emotional-courage.md - warning
missing-refreference to a missing file: ../frameworks/trust-equation.md - note
frontmatter-keyunknown frontmatter key "complexity" - note
frontmatter-keyunknown frontmatter key "stage" - note
frontmatter-keyunknown frontmatter key "related_skills"
Process rating: all ten parameters 46/100
- 0Tools and files. 6 referenced file(s) missing: ../frameworks/emotional-intelligence.md, ai-stakeholder-balance.md, ai-human-centered-approach.md
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 14 mutating operations with no state check
- 60Result and completion. Output format stated, no completion criterion
- 65Failures and branches. 3 branches
- 70Execution cost. Instruction body is 5494 tokens
- 100Steps. 11 steps
- 100Consistency. Name and required fields are in place
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)
- +1No license
- +2Single-language instructions
- +3Description length 747: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 11 items
- +3Output format is stated explicitly
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.