Comparing technical candidates
Provides comparable assessments grounded in consistent core questions and a four-level rubric. Quoted evidence helps hiring teams distinguish detailed technical explanations from unsupported claims.
— Talent & Leadership
Technical Competency Assessment
Assesses how clearly people explain their technical work against a consistent four-level rubric, producing a human-approved report with quoted evidence behind every score.
- Talent & Leadership
- Human review built in
- Traceable reasoning
- Runs anywhere
1–2 weeks → ~15 minutes
For one complete, review-ready pass
No coding required
- Input
- Technical discipline and assessment scope
- Output
- Technical competency assessment report
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~1–2 weeks per run
— USE CASES
What people use Technical Competency Assessment for
Understanding team capability
Gives leaders an evidence-backed view of how team members explain their technical approaches, decisions and results. The report supports development discussions without presenting verbal evidence as proof of practical proficiency.
Reviewing contested assessment scores
Makes the basis for each score explicit through quoted responses and rubric-based judgements. Observable response signals, such as pasted text, writing time and depth under follow-up, inform human review without claiming to detect AI use.
Calibrating assessor judgements
Provides a shared scoring framework for technical explanations, with evidence attached to every rating. Human approval keeps accountability for the assessment with the people making the decision.
What it works from
- Technical discipline and assessment scope
- Candidate or team member details
- Pre-set technical questions
- Four-level competency rubric
What you get back
- Technical competency assessment report
- Human-approved scores against a four-level rubric
- Quoted response evidence supporting every score
- Evidence of technical approaches, tools, trade-offs, numbers and outcomes where provided in responses to core questions and targeted follow-up questions used in the assessment interviews for each participant within the agreed technical discipline and assessment scope, with gaps in supporting detail visible to the assessor for human judgement rather than treated as proof of practical performance or as an AI-detection verdict, and without substituting observable response signals for competency evidence, while maintaining a consistent basis for comparison across candidates or team members assessed against the same rubric and pre-set core questions
— HOW IT BEHAVES
How Technical Competency Assessment produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Human sign-off before the write-up
The run pauses for a person to confirm the skills that matter before the deliverable is composed.
Composed as work product
Findings on the role or function in scope are written up as a document that reads like professional output, with each claim tied back to a skill.
Criteria-based analysis of every skill
Each skill is assessed against explicit criteria you control, so the same standard is applied across the role or function in scope on every run.
Grounded in your own role documentation and capability evidence
The run works from role documentation and capability evidence you supply, so conclusions about the role or function in scope are anchored to your evidence rather than general model knowledge.
Why this is expensive by hand
Technical assessments often rely on assessor judgement, uneven questioning and confident claims that lack supporting detail. Comparing technical candidates is the typical trigger — provides comparable assessments grounded in consistent core questions and a four-level rubric. Quoted evidence helps hiring teams distinguish detailed technical explanations from unsupported claims. Get it right and the conclusion holds up in the room; get it rushed and it gets picked apart. Either way it costs roughly 1–2 weeks of experienced attention.
How this Skill produces it
Here the same job runs as a Skill. Your material goes in; technical competency assessment report comes out, alongside human-approved scores against a four-level rubric. The judgement is built in — how items are broken up, what standard they are held to, and where the run stops for a human review. In effect, 1–2 weeks of senior time compresses into ~15 minutes — and the output is comparable across clients, quarters and colleagues instead of shaped by whoever ran it.
Who it's for
- CHROs and talent management leads
- Succession and leadership development teams
- Executive assessors and coaches
- Consultants running talent reviews
Run it in Skillsize — or export it anywhere
Technical Competency Assessment exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.
ChatGPTClaudeCopilotAI Products (MCP)
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