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GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill saadshahd/moo.md --skill career- SKILL.md4.4 KB
Overview
This skill routes career-related tasks to focused workflows for interview prep, skill assessment, job analysis, stakeholder navigation, and professional development. It detects the user's intent, announces the selected workflow, and runs a structured sequence tailored to that workflow. The skill emphasizes actionable, evidence-based recommendations and uses story-point effort estimates.
How this skill works
It inspects the user’s stated goal and context, then selects the matching workflow (Interview Simulator, Gap Analysis, STAR-C Narrative, Job Intel, etc.). The skill announces which workflow it will use, gathers missing information with an Ask step, loads the referenced checklist, and executes the workflow exactly. Outputs for assessments, simulations, and stakeholder work include a required quality footer with confidence, key assumption, and reversibility.
When to use it
- Preparing for technical or behavioral interviews
- Assessing skills and mapping gaps against role requirements
- Analyzing a job posting or evaluating an opportunity
- Building STAR stories and achievement narratives
- Navigating stakeholder politics or preparing executive communications
- Designing practice drills and focused professional development exercises
Best practices
- Always start by asking clarifying questions before making recommendations
- Announce the workflow: “I’m using the career skill for [workflow]” to set expectations
- Ground advice in specific user responses and cite evidence from their answers
- Be direct and actionable—focus on what to change and how to measure it
- Estimate effort in story points rather than time units
- Include the required quality footer on all assessments, simulations, and stakeholder analyses
Example use cases
- Run an interview simulation and get targeted feedback on responses and pattern issues
- Analyze a job posting and generate a prioritized gap-remediation plan
- Convert achievements into STAR-C narratives for behavioral interviews
- Map stakeholder positions, label facts vs inferences, and recommend next steps
- Create a sequence of practice drills to shore up a specific skill weakness
FAQ
It states: “I’m using the career skill for [workflow]” and then asks clarifying questions before proceeding.
What must assessments include?
Assessments must cite specific user responses and end with the quality footer showing Confidence, Key Assumption, and Reversibility.