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Gather self-review evidence through a guided competency skill

Source-backed example. Practical decision guidance is proposed and untested; this is not a full implementation guide.

The problem

Employees preparing a self-review need concrete evidence of their work rather than relying on memory or a blank competency template.

Agent job

Turn the competency spreadsheet into a role-aware interview, use completed Jira work as prompts and export the employee's evidence.

Expected output

A reviewable evidence collection and development report for the employee's self-review.

Where this framing comes from
  • Core problem: Editorial purpose framing
  • Agent job: Editorial purpose framing
  • Expected output: Editorial purpose framing
  • Relevant job roles: Editorial purpose framing
  • Benefit type: Editorial purpose framing
Editorial framing and outcome limits

Describes the task’s purpose and intended output; measured benefit, safe unsupervised operation and successful delivery are not established by this framing.

Editorial synthesis based on the linked source. This framing does not add evidence of successful delivery or results.

Case-specific decision guidance · untested

Case-specific decision guidance and first checks are original proposals. The linked source supports the attributed task; this added guidance has not been executed.

Read the attributed source evidence and original caveats below ↓

Why use this

  1. An employee preparing a self-review may remember recent work but overlook earlier contributions or struggle to connect examples with a competency framework. Completed tickets can prompt recall, yet their status alone says little about individual impact.

  2. This job could guide the employee through evidence collection and keep their own explanations visible. A reviewable export supports a grounded self-assessment without turning activity counts into performance judgments or inventing accomplishments.

Why an agent / simpler alternative

Useful judgment

Connect job-relevant competencies with work examples and ask clarifying questions about contribution, outcome and uncertainty.

Simpler alternative

Use a competency worksheet manually when the employee already has a well-organized evidence list.

Unsuitable when

The process evaluates employees automatically or infers sensitive traits and personal characteristics from work records.

Proposed inputs

  1. Name

    Competency framework

    Owner

    Employee or authorized HR owner

    Minimum scope

    Relevant role/level criteria

    Quality check

    Clarify ambiguous expectations without inventing standards

  2. Name

    Approved work examples

    Owner

    Employee

    Minimum scope

    Selected completed tickets and personal context

    Quality check

    Separate individual contribution from team results

Access and setup — proposed or unknown

Proposed minimum
  1. Use supplied framework excerpts and fictional tickets first; no broad employee analytics or live Jira access.

Compatibility unknowns
  1. Current issue access, role mapping, export tools and exact runtime compatibility are unknown.

External actions requiring approval
  1. Reading additional personnel records, sharing the review or writing into HR systems requires explicit authorization.

Expected deliverable and review checks

Proposed artifact

Employee-owned evidence draft with competency links, contribution statements and development questions.

Critical checks
  1. Trace claims to examples; preserve employee corrections; distinguish completed work, observed outcome and inferred impact.

Missing output evidence

This overlay adds no new output inspection, execution or validation; consult the referenced canonical source outcome limits.

Failure signals and proposed responses

  1. Signal

    A closed ticket becomes proof of success

    Why it matters

    Completion status hides outcome uncertainty

    Proposed response

    Ask what changed and retain unknown results.

  2. Signal

    Team output is attributed entirely to one person

    Why it matters

    The draft overclaims contribution

    Proposed response

    Record the employee's specific role and collaborators fairly.

Effort and cost — unknown

Setup work
  1. Agree role scope and interview/evidence labels.

Ongoing review
  1. Employee verifies every exported claim and chooses what to share.

Unknowns
  1. Record completeness, interview effort, confidentiality review and service costs are unknown.

First check — proposed, unexecuted

Status

proposed_unexecuted

Synthetic fixture

Invent two competencies and three tickets, including a team project and a closed task with unknown outcome; propose interview questions.

Acceptance checks
  1. Ask for evidence rather than inventing impact; separate contribution; produce no rating or HR-system write.

Stop conditions
  1. Stop if evaluation criteria require sensitive inference or the employee cannot verify a claim.

Limits

  1. An evidence collection does not determine performance ratings, promotion eligibility or the truth of self-reported outcomes.

Tasks: Research & discoveryData & analysis

Useful for: HR professionalProject manager

Editorial relevance from the title and source-supported actions; not evidence of the operator’s occupation.
Claude CoworkIndependent testing: No

Editorial candidate. This is source-backed reporting or a documented workflow. BotCurrent has not independently tested this task. A proposed Canadian adaptation is not evidence of a Canadian deployment or compliance certification.

Original source

https://claude.com/customers/jamf-qa ↗

Attributed to: Nick Benyo, Jamf, interviewed by Anthropic

Vendor report
Original action type
tool_action
What the source supports
Turn a competency spreadsheet into a role-aware interview, retrieve completed Jira work as prompts, and export evidence and a development report.
Source outcome limits
Actions and outcomes are attributed vendor claims, not an independent reproduction or an execution guarantee.
Evidence attribution caveat
Actions and outcomes are attributed vendor claims, not an independent reproduction or an execution guarantee.
Source approval description
Employee reviews exported content; decisions remain human.
Named tools
Claude Cowork; skills; Jira
Model or version
Unknown
Publication date
Unknown
Source last checked
2026-10-14
Demonstrated in Canada
Unknown
Canadian availability
Unknown
Proposed Canadian adaptation
Minimize Canadian employee records; use consented job evidence and qualified manager review.
Recommended approval boundaries
Review source references and artifacts; approve any posting, external send, ledger entry, contract acceptance or sensitive-data disclosure separately.

More examples of this task

Source-backed approaches using this or another agent. Not independently tested.

Claude Cowork

Build a controlled performance-review workflow

Read the organization’s competency framework, rating definitions and template, then write a reusable skill guiding managers through consistent review drafts.

Official recipe · Publication date unknown · Independently tested: No

https://academy.claude.com/use-cases/performance-review-admin ↗

This official recipe describes a procedure; it does not prove successful execution or independently reproduced results.

Source facts, caveats and approval gates
Source attribution
Anthropic
Source publication date
Unknown
Source checked
2026-10-14
Model or version
Unknown
Named tools
Claude Cowork; Human Resources plugin; Google Drive; Gusto
Source approval description
Not specified.
Evidence attribution caveat
This official recipe describes a procedure; it does not prove successful execution or independently reproduced results.
Source outcome limits
This official recipe describes a procedure; it does not prove successful execution or independently reproduced results.
Recommended approval gates
Review source references and artifacts; approve any posting, external send, ledger entry, contract acceptance or sensitive-data disclosure separately.
Canadian availability
Unknown
Demonstrated in Canada
Unknown
Proposed Canadian adaptation
HR reviews provincial employment and privacy requirements; use human-established criteria and human review for every evaluation.