career-plan

career-plan is a skill for Claude Code from tmargolis/career-navigator. It costs 66 tokens per session (1,577 once invoked), scanned A, original, Apache-2.0.

A career-planning tool that maps a realistic near-, medium-, and long-term path from your current experience toward a target role.

In plain words
What is it for?
Use it to choose a direction, prioritize skills, understand role progression, and save a written career plan with structured data for later use.
Why use it?
It turns your background and goals into a structured plan and highlights gaps, market demand, and possible effects of AI or automation on the work.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the career-navigator plugin — 46 skills, 3 MCP servers shipped together

Good fit Use it to choose a direction, prioritize skills, understand role progression, and save a written career plan with structured data for later use.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tmargolis/career-navigator/career-plan
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add tmargolis/career-navigator --skill career-plan
Clone the repo
git clone --depth 1 https://github.com/tmargolis/career-navigator

Made for: Claude Code.

Or install career-navigator, the plugin that ships this one along with the rest of its 46 skills, 3 MCP servers.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for career-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/tmargolis/career-navigator/career-plan/github.svg)](https://agentmods.dev/skills/tmargolis/career-navigator/career-plan)
Your own site
<a href="https://agentmods.dev/skills/tmargolis/career-navigator/career-plan"><img src="https://agentmods.dev/badge/skills/tmargolis/career-navigator/career-plan/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for career-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/tmargolis/career-navigator/career-plan"><img src="https://agentmods.dev/badge/skills/tmargolis/career-navigator/career-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,577 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.01577
Opus 5 $0.00033 $0.00788
Sonnet 5 $0.00013 $0.00315
Haiku 4.5 $0.00007 $0.00158

Measured 10d ago against content hash d4e9e5870461, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

career-plan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/career-plan/SKILL.md · 143 lines

How it starts

The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Run career-plan to produce a realistic career plan, a human-readable report at {user_dir}/CareerNavigator/career-trajectory.md, and a structured career_trajectory_v1 artifact at {user_dir}/CareerNavigator/career-trajectory-data.json.

Workflow

Directory sharing (host integration)

If the host UI asks you for a directory to share with an agent during this skill's run, share only your {user_dir} job-search folder (the one containing CareerNavigator/).

All reads/writes for this skill are under:

  • {user_dir}/CareerNavigator/profile.md
  • {user_dir}/CareerNavigator/ExperienceLibrary.json
  • {user_dir}/CareerNavigator/career-trajectory.md
  • {user_dir}/CareerNavigator/career-trajectory-data.json
  • {user_dir}/CareerNavigator/career-trajectory-{as_of}-{ideal_role_slug}.md (versioned report snapshot)
  • {user_dir}/CareerNavigator/career-trajectory-data-{as_of}-{ideal_role_slug}.json (versioned data snapshot)

Do not share the whole workspace or unrelated folders.

1. Confirm required data exists

Read:

  • {user_dir}/CareerNavigator/profile.md
  • {user_dir}/CareerNavigator/ExperienceLibrary.json

If missing, output:

Career plan skipped: run /career-navigator:launch to initialize CareerNavigator/ first.

2. Optional ideal role argument

If the user provides an explicit target (e.g. "for an Applied AI PM role" or "ideal_role: Senior Product Manager"), capture it as ideal_role for targeted gap analysis. Otherwise set ideal_role = null.

3. Market intelligence pass (demand + AI displacement + compensation direction)

Hand off to the market-researcher agent with:

  • The full profile.md and key target roles/locations (as provided).
  • The full ExperienceLibrary.json (so it can align displacement risk to the user's durable strengths).
  • Instruction: produce horizon-aware signals for:
    • Near-term (0–18 months)
    • Medium-term (18 months–4 years)
    • Long-term (4+ years)
  • Compensation trajectory direction (where compensation tends to rise/flatten over the horizons) and geography competitiveness notes.

Read the full file on GitHub · 143 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 143 lines · 66 tokens per session scan A d4e9e5870461

Subscribe to this mod's changes

career-plan is a skill published in the GitHub repository tmargolis/career-navigator (13 stars, last pushed 11d ago), licensed Apache-2.0. It adds 66 tokens to every session and 1,577 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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