Wp Performance Review
elvismdev/claude-wordpress-skills
WordPress performance code review and optimization analysis.
Write structured, balanced performance reviews from bullet-point inputs.
$ npx skills add mohitagw15856/pm-claude-skills --skill performance-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mohitagw15856/pm-claude-skills performance-review --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "performance-review" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/performance-review into .claude/skills/performance-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-review", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/performance-reviewType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mohitagw15856/pm-claude-skills --skill performance-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mohitagw15856/pm-claude-skills performance-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/performance-review .agents/skills/performance-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "performance-review" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/performance-review into .agents/skills/performance-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-review", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mohitagw15856/pm-claude-skills --skill performance-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mohitagw15856/pm-claude-skills performance-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/performance-review .cursor/skills/performance-review && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "performance-review" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/performance-review into .cursor/skills/performance-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-review", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mohitagw15856/pm-claude-skills.git --path skills/performance-review--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mohitagw15856/pm-claude-skills --skill performance-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mohitagw15856/pm-claude-skills performance-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/performance-review .gemini/skills/performance-review && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "performance-review" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/performance-review into .gemini/skills/performance-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-review", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mohitagw15856/pm-claude-skills performance-reviewInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mohitagw15856/pm-claude-skills --skill performance-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/performance-review .github/skills/performance-review && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "performance-review" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/performance-review into .github/skills/performance-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-review", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mohitagw15856/pm-claude-skills --skill performance-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mohitagw15856/pm-claude-skills performance-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/performance-review .opencode/skills/performance-review && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "performance-review" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/performance-review into .opencode/skills/performance-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-review", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
performance-reviewWrite 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. 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.
Read from SKILL.md and the folder at commit 1cbf1f0. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 678 words, ~1,409 tokens.
.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.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-reviewwhen much of the person's output was produced with AI tools and attribution matters.
Ask the user for these if not provided:
Role: [Title / Level] Review period: [Period] Review type: [Manager / Self / Peer / Upward] Reviewed by: [If known]
[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.]
[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.]
[3–4 bullet points. Each bullet = one strength, with one concrete example from the review period. No abstract traits without evidence.]
[2–3 areas. Be direct and constructive — not vague. Frame as "opportunity to develop" not "failure." Each should include:]
[Area name]
[2–3 goals. Format each as:]
Goal [N]: [Clear, outcome-oriented goal]
| Competency | Rating | Evidence |
|---|---|---|
| [Competency from company framework] | [Exceeds / Meets / Developing / Below] | [One-sentence example] |
[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.]
references/evidence-not-adjectives.md — the adjective→evidence substitution table and the calibration rules that keep files honest© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in skills/performance-review of mohitagw15856/pm-claude-skills.
Open the folder on GitHubat commit 1cbf1f0
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Performance Review this skillmohitagw15856/pm-claude-skills | 1.4k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Wp Performance Reviewelvismdev/claude-wordpress-skills | 235 | 1 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Align Humanagentscope-ai/OpenJudge | 871 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Run Mv Hoi Reconstructionnvidia-isaac/video_to_data | 861 | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| Company Analysiszhu1090093659/dsh-trading | 238 | — | ~4.2k | Automated safety check: Pass | Custom licence | |
| Windbg Diagnostic Methodmicrosoft/win-dev-skills | 466 | — | ~1.9k | Automated safety check: Pass | MIT |
elvismdev/claude-wordpress-skills
WordPress performance code review and optimization analysis.
agentscope-ai/OpenJudge
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Categories
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.
Performance Review fits situations like: asked to write a performance review; self-assessment; manager evaluation.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Performance Review is instructions for the agent only.
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.
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.
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.
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.
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.
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.