How does the Succession Planning Evidence Mapper help my HR or operations team?

This skill automates the tedious task of organizing job requirements and human-provided evidence into structured packets, ensuring that succession reviews are based on traceable facts rather than disorganized notes. It solves the problem of 'data drift' by clearly separating verified evidence from human assumptions and identifying missing information before a review begins.

Does this skill use AI to decide who the best candidate for a role is?

No. To ensure ethical compliance and reduce bias, this skill is strictly documentation-focused; it organizes and validates your supplied data but never ranks, scores, or selects candidates for a role.

Which AI platforms or agents are compatible with this skill?

The mapper is designed to be agent-agnostic and functions within any AI environment that supports structured text input and file attachments, such as ChatGPT, Claude, or custom enterprise LLM interfaces.

What exactly is included in the purchase of this skill?

You will receive the proprietary skill instructions and a standardized template for inputting your role requirements and human-designated evidence to ensure the most accurate mapping.

Is there a complex installation process for the Evidence Mapper?

Setup is immediate; once you import the skill into your preferred AI agent, you simply provide your specific role-continuity requirements and the evidence you wish to map to begin generating review-ready packets.

What kind of technical documentation does the skill generate for my review packets?

The output includes stable IDs for traceability, a structural validation manifest to ensure no data was missed, and clear markers for any conflicts or unknowns identified in your source materials.

Succession Planning Evidence Mapper SKILL.md

I have mapped the VP of Engineering continuity requirements against the provided training records for a 2-year planning horizon. This packet identifies documented evidence and highlights specific development actions required to meet the role criteria.

Succession Evidence Packet: VP of Engineering (2-Year Horizon)

Category	Requirement	Evidence ID	Status	Notes
Technical	Architecture Oversight	TRN-001	`VERIFIED`	Completed Advanced Cloud Architecture (2023).
Leadership	Budget Management	NOT-SUPPLIED	`GAP`	No evidence of P&L responsibility in provided records.
Operations	Incident Response	TRN-004	`VERIFIED`	Led Q3 Disaster Recovery simulation.
Strategy	Product Roadmap	EXT-009	`NOT-VERIFIED`	Self-reported involvement in 2024 planning; needs human sign-off.

Provenance Ledger

ID: TRN-001 | Source: LMS Export | Date: 2024-01-15 | Authority: Training Dept.
ID: EXT-009 | Source: Candidate A Resume | Date: 2024-02-01 | Authority: Human-designated Evidence.

Continuity Development Actions

Action 1: Enroll in Executive Finance Workshop. (Linked to: Budget Management).
Action 2: Shadowing for Multi-year Product Strategy. (Linked to: Product Roadmap).

Next steps

Verify the self-reported roadmap involvement (EXT-009) with the current CTO.
Assign an owner for the Executive Finance Workshop enrollment.
Review the Budget Management gap to determine if this is a hiring requirement or a development goal.

This succession evidence packet is a draft for accountable human review; it does not rank people, select successors, predict potential, verify legal compliance, or make employment decisions.

About this skill

Turn supplied critical-role requirements, continuity assumptions and authorized evidence into traceable succession-review materials. The skill separates source-supported facts, authorized human input, proposals, conflicts and unknowns. It creates review-ready outputs with stable IDs, owners, dependencies, limitations and a redacted structural validation manifest. Do not identify, rank, score, recommend or select successors. Work only with human-designated scope and job-related supplied evidence.

Frequently Asked Questions

Succession Planning Evidence Mapper