career-skill-portfolio-strategist
Use when testing career paths and skill investments.
Skill by Sahil-SS9
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.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: testing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
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.
More from Sahil-SS9/agent-personas
- 0.664score
classifier-candidate-benchmark
Sahil-SS9
Run candidates through the frozen exam and report each verdict with its gates, utility, calibration, determinism and latency — including the candidates that…
SkillAFreshness: A★ 62Claude Code +9 - 0.664score
agent-artifact-attribution-and-scratch-routing
Sahil-SS9
Attribute debris to the agent session that created it — with evidence — and route future agent scratch output to a home that will not accumulate.
SkillAFreshness: A★ 62Claude Code +9 - 0.664score
capa-floss-adapter
Sahil-SS9
Use capa capability rules and FLOSS string deobfuscation as triage hypothesis generators, always with manual verification.
SkillAFreshness: A★ 62Claude Code +9 - 0.664score
angr-symbolic-adapter
Sahil-SS9
Use angr for symbolic analysis when evidence needs justify it: constraint solving on parsers, decoders and guarded paths, with coverage honesty.
SkillAFreshness: A★ 62Claude Code +9 - 0.664score
analysis-capability-ladder
Sahil-SS9
Pick the strongest analysis level available, discover and propose new tools when a gap blocks the answer, state the level used, and finish within budget.
SkillAFreshness: A★ 62Claude Code +9 - 0.664score
build-ci-and-package-artifact-sprawl-control
Sahil-SS9
Control generated artifacts from builds, CI runs and package managers — the largest and fastest-growing source of reclaimable space.
SkillAFreshness: A★ 62Claude Code +9 - 0.661score
agent-loop-guardrails
Sahil-SS9
Wrap agent loops in deterministic gates, scoped permissions and stop rules.
SkillAFreshness: A★ 62Claude Code +9 - 0.661score
agent-dispatch-discipline
Sahil-SS9
Brief, dispatch and verify agent work so nothing depends on session memory.
SkillAFreshness: A★ 62Claude Code +9 - 0.661score
accessible-dynamic-components
Sahil-SS9
Make dynamic and JS-driven UI accessible: focus, live regions, and state.
SkillAFreshness: A★ 62Claude Code +9 - 0.661score
analytics-dimensional-modelling
Sahil-SS9
Model analytics data dimensionally: facts, dimensions, grain and slowly-changing history.
SkillAFreshness: A★ 62Claude Code +9 - 0.661score
api-security-design
Sahil-SS9
Design API security: authentication, authorization, rate limiting and abuse controls.
SkillAFreshness: A★ 62Claude Code +9 - 0.661score
api-compatibility-analysis
Sahil-SS9
Classify every proposed API change as compatible or breaking across all three dimensions.
SkillAFreshness: A★ 62Claude Code +9
Signals
- Stars
- 62
- Forks
- 4
- Open issues
- 0
- Last commit (this folder)
- Sep 8, 2026 (1 month ago)
- Last release
- Oct 10, 2026 (18 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Sahil-SS9/agent-personas
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Sahil-SS9
- 0.664score
agent-artifact-attribution-and-scratch-routing
Sahil-SS9
Attribute debris to the agent session that created it — with evidence — and route future agent scratch output to a home that will not accumulate.
SkillAFreshness: A★ 62Claude Code +9 - 0.664score
analysis-capability-ladder
Sahil-SS9
Pick the strongest analysis level available, discover and propose new tools when a gap blocks the answer, state the level used, and finish within budget.
SkillAFreshness: A★ 62Claude Code +9 - 0.664score
angr-symbolic-adapter
Sahil-SS9
Use angr for symbolic analysis when evidence needs justify it: constraint solving on parsers, decoders and guarded paths, with coverage honesty.
SkillAFreshness: A★ 62Claude Code +9 - 0.664score
build-ci-and-package-artifact-sprawl-control
Sahil-SS9
Control generated artifacts from builds, CI runs and package managers — the largest and fastest-growing source of reclaimable space.
SkillAFreshness: A★ 62Claude Code +9 - 0.664score
capa-floss-adapter
Sahil-SS9
Use capa capability rules and FLOSS string deobfuscation as triage hypothesis generators, always with manual verification.
SkillAFreshness: A★ 62Claude Code +9 - 0.664score
classifier-candidate-benchmark
Sahil-SS9
Run candidates through the frozen exam and report each verdict with its gates, utility, calibration, determinism and latency — including the candidates that…
SkillAFreshness: A★ 62Claude Code +9
Cite this page
career-skill-portfolio-strategist. Agent Mart. https://agentmart.dev/skills/sahil-ss9-career-skill-portfolio-strategist (last updated 2026-10-24)