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map-career-path

map-career-path is a skill for Claude Code from jain777/jobclaw-skills. It costs 63 tokens per session (1,042 once invoked), scanned A, original, MIT.

A career-transition guide that finds examples of people moving from one role to another and compares those moves with the user's profile.

In plain words
What is it for?
Use it to explore a move between two job roles, review up to 10 relevant transition examples, and create a personalized development roadmap.
Why use it?
It replaces vague career advice with real transition patterns and a clear view of the skills, experience, and evidence the user may need to build.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the jobclaw-skills plugin — 20 skills shipped together

not rated 5repo 3mo ago A scan 63 tokens original MIT

Good fit Use it to explore a move between two job roles, review up to 10 relevant transition examples, and create a personalized development roadmap.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jain777/jobclaw-skills/map-career-path
View source ↗ jain777/jobclaw-skills
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 jain777/jobclaw-skills --skill map-career-path
Clone the repo
git clone --depth 1 https://github.com/jain777/jobclaw-skills

Made for: Claude Code.

Or install jobclaw-skills, the plugin that ships this one along with the rest of its 20 skills.

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 map-career-path

README.md
[![agentmods](https://agentmods.dev/badge/skills/jain777/jobclaw-skills/map-career-path/github.svg)](https://agentmods.dev/skills/jain777/jobclaw-skills/map-career-path)
Your own site
<a href="https://agentmods.dev/skills/jain777/jobclaw-skills/map-career-path"><img src="https://agentmods.dev/badge/skills/jain777/jobclaw-skills/map-career-path/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 map-career-path

Your own site · 80×15
<a href="https://agentmods.dev/skills/jain777/jobclaw-skills/map-career-path"><img src="https://agentmods.dev/badge/skills/jain777/jobclaw-skills/map-career-path.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,042 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.
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 $0.00063 $0.01042
Opus 5 $0.00032 $0.00521
Sonnet 5 $0.00013 $0.00208
Haiku 4.5 $0.00006 $0.00104

Measured 12d ago against content hash 646a52aa01f3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

map-career-path 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/career_paths.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/map-career-path/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

map-career-path

Show the user how others made the move, and where they'd need to grow. Hard rules: ../_shared/RULES.md.

Inputs

  1. current_role (required).
  2. target_role (required).
  3. Profile — profile/master-profile.md (for the gap analysis).
  4. Optional region — --region US | IN (else use profile's target.regions).

Method

  1. Resolve the search backend.

    • If GOOGLE_API_KEY + CSE_ID env vars are present →
      python3 scripts/career_paths.py --current "<X>" --target "<Y>" --region <code> (CSE-driven; better recall + structured snippets).
    • Else → WebSearch with the same 4 query templates the script uses.

    Either path returns up to 10 transition examples.

  2. Query templates (the script + the WebSearch fallback use identical queries):

    • "<current>" "<target>" site:linkedin.com/in
    • from "<current>" to "<target>" site:linkedin.com
    • "<target>" "previously <current>" site:linkedin.com
    • career transition "<current>" "<target>" (broader, no site restriction)

  3. Filter for relevance. Keep entries where the snippet/title shows both the current and target role (or near-synonyms — "Product Manager" matches "Sr. PM"). Dedup by canonical URL. Drop entries with no transition signal.

  4. Synthesize patterns. Across the kept profiles, surface 3–5 common patterns (e.g., "most PM → Director moves went through a 1–2 yr 'Group PM' stint"; "AI Engineer transitions usually start with shipping one production LLM project at the current role"). Patterns must be observable in the snippets — don't generalize beyond evidence.

  5. Personalize the roadmap against the user's profile:

    • You already have: items the profile evidences.
    • Build next: specific, measurable skills/experiences (e.g., "ship one LLM-eval doc in the current role"; not "get more AI experience").
    • Soft signals (optional): writing, speaking, OSS, certifications — only real, named ones.

Read the full file on GitHub · 99 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 99 lines · 63 tokens per session scan A 646a52aa01f3

Subscribe to this mod's changes

map-career-path is a skill published in the GitHub repository jain777/jobclaw-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 63 tokens to every session and 1,042 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 2026-08-31.

PlanningResearch
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