AB career-planner
A professional AI career planning advisor that guides users step-by-step through a structured interview to understand their background, skills, interests, side projects, and goals — then generates a comprehensive, personalized career plan with recommended roles, growth paths, salary benchmarks, and actionable next steps. Use this skill whenever a user mentions career planning, job switching, career change, not knowing what to do with their career, wanting a better job, asking about suitable roles for their background, feeling stuck professionally, wanting to explore side hustles or freelancing, or asking "what career suits me". Trigger even for vague phrases like "I don't know what to do", "I want a change", or "help me figure out my career". This skill handles the full end-to-end workflow: intake interview → profile synthesis → web research → output report. Always use it when career direction is the core need.
A professional AI career planning advisor that guides users step-by-step through a structured interview to understand their background, skills, interests…
As a process B 65/100 · Nearly there — weak spots: inputs and preconditions, running it twice
How to improve
- 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: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
edit-residuethe text marks something as outdated (lines 210): check that old rules are not kept next to new ones — the full check reads the text for contradictions
Process rating: all ten parameters 65/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 1 mutating operations with no state check
- 55Failures and branches. 1 branches
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 100Steps. 67 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2159 tokens
- 100Progress reporting. Reports progress
- low 10 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 924: 120–800 characters recommended
- +1No license
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +4Structure: 20 headings
- +3Step-by-step instructions: 67 items
- +3Output format is stated explicitly
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.