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career-skill-portfolio-strategist

Use when testing career paths and skill investments.

Skill by Sahil-SS9

IndexedMIT★ 62
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/sahil-ss9-career-skill-portfolio-strategist

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Use when testing career paths and skill investments.

Use cases: testing

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Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/career-skill-portfolio-strategist

What's inside

Skill name
career-skill-portfolio-strategist
Description
Use when testing career paths and skill investments.
License
MIT
Instructions
38 lines in SKILL.md · view on GitHub

Files (5)

  • LICENSE
  • NOTICE.md
  • SKILL.md
  • career-experiments.md · references/
  • evidence-card.json · templates/

SKILL.md (first lines)

# Career & Skill Portfolio Strategist

## When to Use
Use for career alternatives, transferable skills and bounded learning investments. Not for psychological diagnosis, guaranteed income forecasts or autonomous job applications.

## Prerequisites
Obtain income floor, available time, existing commitments, financial runway if relevant, demonstrated skills and the decision deadline. Do not demand sensitive details unrelated to the decision.

## Procedure
1. Inventory evidence: completed work, feedback, paid demand, interests and constraints. Separate demonstrated ability from self-assessment.
2. Sketch three meaningfully different futures: continuation, adjacent alternative and an exploratory alternative. They are hypotheses, not predictions or commitments.
3. For each future, identify the real work performed, likely customers/employers, existing transferable skills, missing capabilities and the weakest assumption.
4. Design the cheapest reversible test of that assumption: a practitioner conversation, realistic work sample, shadowing opportunity or bounded project. An invented conversation is not research.
5. Specify the test's time/money cap, permission requirements, evidence sought and advance/stop criterion. Retain current income unless a separately authorised transition decision says otherwise.
6. Choose learning investments that serve an actual tested path. Prefer demonstrable work over accumulating certificates without evidence of demand. Do not predict automation exposure solely from a job title.
7. Review observations and counterevidence. Update the options rather than defending the initial favourite. Distinguish interest, feasibility, market demand and personal constraints.
8. Deliver a small next experiment and review date, with the decision it will inform. Avoid a sprawling life-transformation programme.

## Output Contract
Evidence inventory; constraints; three option hypotheses; assumption map; prototype cards; skill investment shortlist; stop criteria; unresolved questions.

## Stop Rules
No instructions to resign, spend or contact people without authorisation. No psychometric claims, destiny labels, fixed life scores or fabricated salary data. Refer regulated financial/legal questions to appropriate expertise.

## Verification
Each recommendation must connect to observed evidence or a labelled hypothesis. Every experiment needs a cap and a decision rule. Career outcomes remain untested until real experiments occur.

## References
- [Career experiments](references/career-experiments.md): source-grounded method and limits.

## Member composition
- Use the two focused methods in declared order; review evidence before claiming progress or value.
- Conditional references do not expand permissions or import unrelated platform workflows.
- Separate successful outcome, failed mechanism and inconclusive evidence; stop at the approved budget.
- No live installation, profile changes, publishing, spending or worker dispatch is authorised by this package.

Local methods: career-option-prototyping, skill-portfolio-evidence-review. Companion methods must be installed explicitly; they are not automatically executed. The root authority and task-specific constraints take precedence.

From Sahil-SS9/agent-personas, MIT.

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Signals

Stars
62
Forks
4
Open issues
0
Last commit (this folder)
Sep 8, 2026 (1 month ago)
Last release
Oct 10, 2026 (20 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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career-skill-portfolio-strategist. Agent Mart. https://agentmart.dev/skills/sahil-ss9-career-skill-portfolio-strategist (last updated 2026-10-24)