Agent skill

Performance Review

by mohitagw15856 in mohitagw15856/pm-claude-skills

Write structured, balanced performance reviews from bullet-point inputs.

MITAuto-check passedBusiness, Finance & HR

Install Performance Review

skills CLI
$ npx skills add mohitagw15856/pm-claude-skills --skill performance-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mohitagw15856/pm-claude-skills performance-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/performance-review .claude/skills/performance-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
performance-review
GitHub stars
1.4k
Token cost
~1.4k tokens
SKILL.md length
678 words
Files
2 (incl. references)
Skills in repo
1,348
Repo updated
First seen
Licence
MIT

At a glance

Write structured, balanced performance reviews from bullet-point inputs.

  • Asked to write a performance review
  • SKILL.md covers Required Inputs, Output Structure, Overall Summary and Achievements & Impact, plus 10 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Self-assessment

What it does

Performance Review is an agent skill from mohitagw15856/pm-claude-skills. Write structured, balanced performance reviews from bullet-point inputs. Use when asked to write a performance review, self-assessment, peer review, 360 feedback, or manager evaluation. Produces a complete, fair, professionally written review covering achievements, areas for growth, and development goals.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/evidence-not-adjectives.md`).

It sits in Business, Finance & HR, covering Performance reviews. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.

When your agent uses it

  • Asked to write a performance review
  • Self-assessment
  • Manager evaluation

Example prompts

  • “/performance-review”

What it can do on your machine

Read from SKILL.md and the folder at commit 1cbf1f0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Performance Review loads about 1.4k tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 678 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 678 words, ~1,409 tokens.

Download SKILL.mdSave it as .claude/skills/performance-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
performance-review
description
Write structured, balanced performance reviews from bullet-point inputs. Use when asked to write a performance review, self-assessment, peer review, 360 feedback, or manager evaluation. Produces a complete, fair, professionally written review covering achievements, areas for growth, and development goals.

Performance Review Skill

This skill turns rough notes, bullet points, or bullet-point memories into a complete, professionally written performance review. Output is ready to submit or use as a strong first draft.

Not quite this? Use ai-assisted-performance-review when much of the person's output was produced with AI tools and attribution matters.

Required Inputs

Ask the user for these if not provided:

  • Review type (Self-assessment / Manager review / Peer/360 / Upward feedback)
  • Review period (e.g. H1 2025, Q2 2025, Annual)
  • Name of person being reviewed (or "myself" for self-assessment)
  • Role / level
  • Key achievements or notable work (rough notes are fine)
  • Areas where they struggled or could improve (be honest — reviews without growth areas aren't credible)
  • Key projects or deliverables from the period
  • Company values or competencies to assess against (optional — if provided, structure the review around them)
  • Overall rating/recommendation (if the form requires one)

Output Structure


Performance Review: [Name]

Role: [Title / Level] Review period: [Period] Review type: [Manager / Self / Peer / Upward] Reviewed by: [If known]


Overall Summary

[3–5 sentences. High-level characterisation of the period. Acknowledge standout contributions. Be specific — use project names and outcomes, not vague praise. For self-assessments, this should reflect honestly on the period without underselling or overselling.]


Achievements & Impact

[3–5 achievements, each structured as:]

[Achievement title — specific and concrete] [2–4 sentences. What was the context? What did [name] do specifically? What was the measurable or observable outcome? Avoid generic praise — every sentence should be something only this person could have done.]


Strengths Demonstrated

[3–4 bullet points. Each bullet = one strength, with one concrete example from the review period. No abstract traits without evidence.]

  • [Strength]: [Example — specific project or behaviour that demonstrated this]

Areas for Growth

[2–3 areas. Be direct and constructive — not vague. Frame as "opportunity to develop" not "failure." Each should include:]

[Area name]

  • Observed pattern: [What was noticed — be specific, not personal]
  • Why it matters: [Impact on team, output, or career progression]
  • Suggested development: [One concrete action — e.g. "Take on [X] responsibility next half" or "Shadow [role] on [process]"]

Development Goals for Next Period

[2–3 goals. Format each as:]

Goal [N]: [Clear, outcome-oriented goal]

  • Why: [Connection to growth areas or career aspirations]
  • How to measure: [What "done" looks like]
  • Support needed: [Resources, training, or manager input required]

Competency Ratings (if framework provided)

CompetencyRatingEvidence
[Competency from company framework][Exceeds / Meets / Developing / Below][One-sentence example]

Closing Recommendation

[2–3 sentences. For manager reviews: overall assessment and any promotion/compensation recommendation. For self-assessments: what you're asking for or committing to. For peer reviews: one sentence on what it's like to work with this person.]


Show full SKILL.md (255 more words)Show less

Writing Rules

  • Never use vague phrases: "strong communicator," "team player," "hardworking" — always back with evidence
  • Growth areas must be honest — reviewers who only write positives lose credibility and help no one
  • Use third person for manager/peer reviews, first person for self-assessments
  • Avoid jargon — "drove alignment" and "leveraged synergies" are meaningless. Use plain language.
  • If the user gives sparse notes, ask for one concrete example per achievement before writing

Deeper Materials

Quality Checks

  • Every achievement includes a specific outcome (not just activity)
  • Strengths have concrete examples from the review period
  • Growth areas are honest and constructive (not softened to meaninglessness)
  • Development goals are measurable
  • No vague phrases without evidence
  • Tone is professional and fair throughout

Anti-Patterns

  • Do not inflate positive language to avoid difficult feedback — growth areas must be clearly stated, not buried
  • Do not include feedback that isn't supported by specific examples — every development point needs evidence
  • Do not write a review that only covers what happened in the last month — the full review period must be considered
  • Do not omit development goals — a review without forward-looking guidance is incomplete
  • Do not use language that could be read as discriminatory — avoid references to personality traits unrelated to work performance

Example Trigger Phrases

  • "Write a performance review for [name] based on these notes: [paste notes]"
  • "Help me write my self-assessment for [period]"
  • "Draft a peer review for my colleague who did [description]"
  • "Turn these bullet points into a full performance review: [paste bullets]"

© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/performance-review of mohitagw15856/pm-claude-skills.

  • SKILL.md
  • references/evidence-not-adjectives.md

Open the folder on GitHubat commit 1cbf1f0

Compare with similar skills

Performance Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Performance Review compared with similar skills
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Performance Review this skillmohitagw15856/pm-claude-skills1.4k—~1.4kAutomated safety check: PassMIT
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Align Humanagentscope-ai/OpenJudge871—~3.1kAutomated safety check: PassApache-2.0
Run Mv Hoi Reconstructionnvidia-isaac/video_to_data861—~1.5kAutomated safety check: PassCustom licence
Company Analysiszhu1090093659/dsh-trading238—~4.2kAutomated safety check: PassCustom licence
Windbg Diagnostic Methodmicrosoft/win-dev-skills466—~1.9kAutomated safety check: PassMIT

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Questions about Performance Review

What does Performance Review do?

Write structured, balanced performance reviews from bullet-point inputs. Performance Review is an agent skill from mohitagw15856/pm-claude-skills. Write structured, balanced performance reviews from bullet-point inputs.

When should I use Performance Review?

Performance Review fits situations like: asked to write a performance review; self-assessment; manager evaluation.

How do I install Performance Review in Claude Code?

Run `npx skills add mohitagw15856/pm-claude-skills --skill performance-review -a claude-code`. Or copy the skill folder (skills/performance-review in mohitagw15856/pm-claude-skills) into .claude/skills/performance-review in your project. Claude Code loads it when a task matches its description.

How do I install Performance Review in Codex?

Run `npx skills add mohitagw15856/pm-claude-skills --skill performance-review -a codex`. Or copy the skill folder (skills/performance-review in mohitagw15856/pm-claude-skills) into .agents/skills/performance-review in your project. Codex loads it when a task matches its description.

Can I use Performance Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mohitagw15856/pm-claude-skills --skill performance-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/performance-review, .gemini/skills/performance-review, .github/skills/performance-review and .opencode/skills/performance-review in your project.

What does Performance Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Performance Review is instructions for the agent only.

Does Performance Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Performance Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Performance Review use?

Performance Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Performance Review use?

About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 566 tokens, read only when the agent opens those files.

What are the alternatives to Performance Review?

Skills that share tags, products or a category with Performance Review: Wp Performance Review (elvismdev/claude-wordpress-skills, 235 stars), Align Human (agentscope-ai/OpenJudge, 871 stars), Run Mv Hoi Reconstruction (nvidia-isaac/video_to_data, 861 stars) and Company Analysis (zhu1090093659/dsh-trading, 238 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Performance Review?

mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.

Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.