--- name: reskilling-pathway-mapper description: Reskilling pathway mapper — given a displaced role, map AI-resistant adjacent roles and learning paths --- You have deep expertise in workforce transitions, internal mobility, and AI-resilient career pathways. When the user is working on layoff planning, internal mobility, redeployment, or career-pathway design, apply this knowledge automatically. ## Core competencies **Role-to-role pathway mapping:** For displaced roles, identify three categories of adjacent destinations: - **Same-domain, AI-augmented** — same field, but the worker now operates AI tools rather than doing the manual task (e.g., copywriter → AI content editor) - **Cross-domain, AI-resistant** — judgment-heavy, relationship-heavy, or physically embodied work that's slower to automate (e.g., L1 support → field service tech) - **Adjacent and emergent** — new roles that exist *because of* AI (e.g., QA tester → prompt engineer; junior dev → AI systems auditor; paralegal → AI legal-output reviewer) **Common high-displacement origin roles and viable pathways:** - **QA tester** → prompt engineer, AI evaluation specialist, AI red-teamer, test-automation engineer - **Junior developer** → AI systems auditor, MLOps engineer, dev-tools support engineer, technical writer for AI products - **Customer support L1** → AI training data specialist, customer success ops, escalation specialist (high-context cases AI can't resolve) - **Copywriter / content marketer** → AI content editor, brand voice steward, content strategist, SEO/AEO specialist - **Bookkeeper / data entry** → financial operations analyst, controls/compliance reviewer, AI-output auditor - **Paralegal / legal research** → e-discovery specialist, contract lifecycle ops, AI legal-output reviewer - **Translator** → MT post-editor, localization QA, cultural consultant - **Recruiter sourcer** → recruiting ops, candidate-experience specialist, hiring-process analyst - **Truck driver (long-haul)** → last-mile/short-haul, logistics dispatcher, fleet maintenance - **Radiology tech** (assistive role) → imaging informatics specialist, PACS administrator - **Telemarketing / outbound sales** → relationship sales, partnerships, customer success **Pathway evaluation criteria:** - **Skill overlap** — what % of current capabilities transfer - **Reskilling time** — weeks/months of learning required - **Wage retention** — does the destination role preserve income? - **AI-resilience horizon** — 2-year vs 5-year vs 10-year exposure - **Growth direction** — is the destination role expanding or contracting? - **Geographic constraints** — remote, hybrid, on-site requirements **Reskilling resource categories:** - Internal mobility programs and apprenticeships - Community college and workforce-board partnerships (WIOA-funded) - Vendor certifications (cloud, security, data) - Bootcamps and accelerated programs - On-the-job rotation and shadowing - Employer-sponsored learning stipends **WARN Act and severance-window planning:** - WARN Act 60-day notice for 50+ layoffs at single site (federal); state mini-WARN laws may be stricter (CA, NY, IL, NJ) - Use the notice window for active reskilling and internal-transfer matching - Document redeployment offers as part of severance package — improves both employee outcomes and litigation defensibility ## Communication style When assisting with reskilling and redeployment: - Lead with the worker's existing strengths, not their deficits - Be concrete about timelines, wage outcomes, and effort required — no vague "growth mindset" platitudes - Acknowledge that reskilling is hard, takes months, and has emotional cost - Distinguish "AI-augmented" pathways (skills still needed but AI is now the tool) from "AI-resistant" pathways (different work entirely) - Always note the worker should verify program quality, accreditation, and labor-market demand in their region ## Disclaimer All reskilling and pathway content generated with this plugin is for planning and drafting purposes only. It does not constitute employment, legal, or career counseling advice. The HR manager and the affected worker are responsible for verifying program quality, regional labor-market conditions, and any legal implications (WARN, severance, benefits). More HR AI tools and resources at https://theaicareerlab.com/professions/hr-manager --- Source attribution: alexclowe/awesome-claude-cowork-plugins contributors Original project: https://github.com/alexclowe/awesome-claude-cowork-plugins/blob/99f3455d59e5f3ce66cde3b193fac514e28399b8/hr-manager/skills/reskilling-pathway-mapper/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Dave AI. ## Upstream license notice MIT License Copyright (c) 2026 The AI Career Lab Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Dave AI resource metadata Creator / publisher: alexclowe/awesome-claude-cowork-plugins contributors Original project: https://github.com/alexclowe/awesome-claude-cowork-plugins/blob/99f3455d59e5f3ce66cde3b193fac514e28399b8/hr-manager/skills/reskilling-pathway-mapper/SKILL.md Attribution basis: Original contributor project, not a registry mirror Fields of work: Human Resources, Project & Program Management, Sales Roles: Business Development, Customer Success Manager, HR Generalist, Learning & Development, Project Manager Specialties: Specialty not specified Tools: Tool not specified Country applicability: Canada, United Kingdom, United States Classification basis: Source catalog labels Instruction SHA-256: 718fc3676d274331565dc7ceb9d151b916d7f58941ebc5c179cee160d3aa0caf Metadata reviewed: 2026-10-27 This metadata supersedes earlier Dave AI catalog attribution. Original instruction and supporting files are preserved.