BF ai-era-leadership
Prepares leaders for daily effectiveness in an AI-augmented workplace by focusing on the human capabilities that machines cannot replicate. Covers five irreplaceable leadership skills (interpersonal intelligence, analog relationship-building, creative unpredictability, domain credibility, and preskilling), practical routines for leading hybrid human-AI teams, and strategies for staying relevant as automation reshapes every function. Use when planning workforce development around AI adoption, when leaders feel threatened by automation, when building AI-human collaboration norms, or when advising on career resilience in technology-disrupted industries.
As a process F 48/100 · Will not run — References files that are not bundled: ../frameworks/emotional-intelligence.md, ../frameworks/growth-mindset.md, employee-engagement-retention.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 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 658 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period) - warning
missing-refreference to a missing file: ../frameworks/emotional-intelligence.md - warning
missing-refreference to a missing file: ../frameworks/growth-mindset.md - warning
missing-refreference to a missing file: employee-engagement-retention.md - warning
missing-refreference to a missing file: ../ai-leadership/ai-augmentation-not-automation.md - warning
missing-refreference to a missing file: learning-agility.md - warning
missing-refreference to a missing file: leading-through-change.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 48/100
- 0Tools and files. 6 referenced file(s) missing: ../frameworks/emotional-intelligence.md, ../frameworks/growth-mindset.md, employee-engagement-retention.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. 3 mutating operations with no state check
- 60Result and completion. Output format stated, no completion criterion
- 65Failures and branches. 3 branches
- 100Steps. 16 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3656 tokens
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 658: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 16 items
- +3Output format is stated explicitly
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.