career-plan

name	career-plan
description	Builds a realistic, honest near/medium/long-term career trajectory and gap analysis using profile + ExperienceLibrary, with market-informed demand and AI/automation displacement outlook. Saves `career-trajectory.md` for downstream job-scout scoring.
triggers	["career plan","career trajectory","where am i headed","what should i target next","/career-navigator:career-plan","/career-navigator:career-trajectory"]

Run career-plan to produce a realistic career plan and a career_trajectory_v1 JSON artifact saved to: {user_dir}/CareerNavigator/career-trajectory.md.

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-{as_of}-{ideal_role_slug}.md (versioned 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.

4. Honest trajectory synthesis

Hand off to the honest-advisor agent with:

• The market intelligence output from step 3.
• The full profile + ExperienceLibrary.
• The optional ideal_role (if present).
• Also pass along the ## Employment Context (if present) so the plan can account for transition cost (employed) or urgency/runway (unemployed).

Instruction: apply the norm/exception/strategy pattern and output a CareerTrajectoryReport with:

• Current position assessment (competitive standing + why, grounded in tracker/ ExperienceLibrary when available)
• Realistic near-term trajectory (0–18 months), ranked by achievability
• Medium-term trajectory (18 months–4 years), with branches (e.g. IC vs management; startup vs enterprise)
• Long-term horizon (4+ years), honest framing of ceiling risk/optionality
• Market-informed gap analysis ranked by ROI (cost x time x impact)

If ideal_role is set:

• Add an "Ideal role gap analysis" section stating whether the ideal role is realistically achievable, under what conditions/timeline, and what steps would most change the outcome probability.

5. Save career-trajectory.md + career_trajectory_v1 (with versioned history)

Write the final markdown report (including a fenced career_trajectory_v1 JSON block) to:

1. A versioned snapshot that will not overwrite prior versions:

{user_dir}/CareerNavigator/career-trajectory-{as_of}-{ideal_role_slug}.md

Where:

• as_of = current date YYYY-MM-DD
• ideal_role_slug = ideal_role lowercased, trimmed, spaces collapsed to -, and any characters in \ / : * ? " < > | removed; if ideal_role = null, use no-ideal-role.

2. The canonical file used by downstream consumers (overwritten each run):

{user_dir}/CareerNavigator/career-trajectory.md

Write order (recommended):

• First write the versioned snapshot.
• Then write the canonical file as a copy of the same markdown (so job-scout + daily-schedule behavior is unchanged).

Markdown heading requirement: Include a line like: ## Career trajectory analysis ({YYYY-MM-DD}) so daily-schedule can detect staleness.

career_trajectory_v1 JSON block requirement (for job-scout parsing): Your JSON block must look like:

{
  "schema": "career_trajectory_v1",
  "as_of": "{YYYY-MM-DD}",
  "ideal_role": "{string or null}",
  "near_term_roles": [
    { "rank": 1, "role_title": "...", "achievability_label": "high|med|low", "rationale": "..." }
  ],
  "medium_term_roles": [
    { "rank": 1, "role_title": "...", "achievability_label": "high|med|low", "rationale": "..." }
  ],
  "gap_analysis": [
    { "priority_rank": 1, "gap_area": "...", "why_it_matters": "...", "roi_score_0_100": 0, "cost_time_estimate": "...", "execution_risks": "..." }
  ]
}

If the write-to-disk tool fails:

• Do not invent a save.
• Show the full markdown report in a fenced code block and tell the user to save it manually to both paths above (versioned snapshot + canonical career-trajectory.md).

6. Present result

Present the conversational CareerTrajectoryReport in chat and confirm:

Saved snapshot to {user_dir}/CareerNavigator/career-trajectory-{as_of}-{ideal_role_slug}.md (and updated {user_dir}/CareerNavigator/career-trajectory.md for downstream scoring).