MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Analyze auto-memory for promotion candidates, stale entries, consolidation opportunities, and health metrics.
$ npx skills add alirezarezvani/claude-skills --skill memory-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install alirezarezvani/claude-skills memory-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/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/engineering-team/self-improving-agent/skills/memory-review .claude/skills/memory-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 "memory-review" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering-team/self-improving-agent/skills/memory-review into .claude/skills/memory-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-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/alirezarezvani/claude-skills/tree/main/engineering-team/self-improving-agent/skills/memory-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 alirezarezvani/claude-skills --skill memory-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install alirezarezvani/claude-skills memory-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/engineering-team/self-improving-agent/skills/memory-review .agents/skills/memory-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 "memory-review" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering-team/self-improving-agent/skills/memory-review into .agents/skills/memory-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-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 alirezarezvani/claude-skills --skill memory-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install alirezarezvani/claude-skills memory-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/engineering-team/self-improving-agent/skills/memory-review .cursor/skills/memory-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 "memory-review" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering-team/self-improving-agent/skills/memory-review into .cursor/skills/memory-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-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/alirezarezvani/claude-skills.git --path engineering-team/self-improving-agent/skills/memory-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 alirezarezvani/claude-skills --skill memory-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install alirezarezvani/claude-skills memory-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/engineering-team/self-improving-agent/skills/memory-review .gemini/skills/memory-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 "memory-review" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering-team/self-improving-agent/skills/memory-review into .gemini/skills/memory-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-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 alirezarezvani/claude-skills memory-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 alirezarezvani/claude-skills --skill memory-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/engineering-team/self-improving-agent/skills/memory-review .github/skills/memory-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 "memory-review" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering-team/self-improving-agent/skills/memory-review into .github/skills/memory-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-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 alirezarezvani/claude-skills --skill memory-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 alirezarezvani/claude-skills memory-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/engineering-team/self-improving-agent/skills/memory-review .opencode/skills/memory-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 "memory-review" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering-team/self-improving-agent/skills/memory-review into .opencode/skills/memory-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-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.
memory-reviewAnalyze auto-memory for promotion candidates, stale entries, consolidation opportunities, and health metrics.
Memory Review is an agent skill from alirezarezvani/claude-skills. Analyze auto-memory for promotion candidates, stale entries, consolidation opportunities, and health metrics. Use when the user runs /si:memory-review or asks what has been learned and what should be promoted or pruned.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows. The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 19392f7. 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 (its code samples are bash).
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.
Memory Review loads about 1.1k tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 340 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 alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 340 words, ~1,057 tokens.
.claude/skills/memory-review/SKILL.md (or your agent's skills folder).Performs a comprehensive audit of Claude Code's auto-memory and produces actionable recommendations.
/si:memory-review # Full review
/si:memory-review --quick # Summary only (counts + top 3 candidates)
/si:memory-review --stale # Focus on stale/outdated entries
/si:memory-review --candidates # Show only promotion candidates# Find the project's auto-memory directory
MEMORY_DIR="$HOME/.claude/projects/$(pwd | sed 's|/|%2F|g; s|%2F|/|; s|^/||')/memory"
# Fallback: check common path patterns
# ~/.claude/projects/<user>/<project>/memory/
# ~/.claude/projects/<absolute-path>/memory/
# List all memory files
ls -la "$MEMORY_DIR"/If memory directory doesn't exist, report that auto-memory may be disabled. Suggest checking with /memory.
Read the full MEMORY.md file. Count lines and check against the 200-line startup limit.
Analyze each entry for:
Recurrence indicators
Staleness indicators
find to verify)Consolidation opportunities
Promotion candidates — entries that meet ALL criteria:
.claude/rules/If MEMORY.md references or the directory contains additional files (debugging.md, patterns.md, etc.):
Read the project's CLAUDE.md (if it exists) and compare:
Also check .claude/rules/ directory for existing scoped rules.
Output format:
📊 Auto-Memory Review
Memory Health:
MEMORY.md: {{lines}}/200 lines ({{percent}}%)
Topic files: {{count}} ({{names}})
CLAUDE.md: {{lines}} lines
Rules: {{count}} files in .claude/rules/
🎯 Promotion Candidates ({{count}}):
1. "{{pattern}}" — seen {{n}}x, applies broadly
→ Suggest: {{target}} (CLAUDE.md / .claude/rules/{{name}}.md)
2. ...
🗑️ Stale Entries ({{count}}):
1. Line {{n}}: "{{entry}}" — {{reason}}
2. ...
🔄 Consolidation ({{count}} groups):
1. Lines {{a}}, {{b}}, {{c}} all about {{topic}} → merge into 1 entry
2. ...
⚠️ Conflicts ({{count}}):
1. MEMORY.md line {{n}} contradicts CLAUDE.md: {{detail}}
💡 Recommendations:
- {{actionable suggestion}}
- {{actionable suggestion}}/si:memory-status shows MEMORY.md is over 150 lines/si:memory-review --quick frequently (low overhead)© alirezarezvani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in engineering-team/self-improving-agent/skills/memory-review of alirezarezvani/claude-skills.
Open the folder on GitHubat commit 19392f7
Memory 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 |
|---|---|---|---|---|---|---|
| Memory Review this skillalirezarezvani/claude-skills | 28k | — | ~1.1k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 64 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Hook Development for Claude Code Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~4.1k | Automated safety check: Notes | Apache-2.0 | |
| Using Superpowersfarm-fe/farm | 5.6k | 35 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Executing Plans Inlineobra/superpowers | 296k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Claude Code Agent Developmentanthropics/claude-plugins-official | 38k | 8 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
anthropics/claude-plugins-official
Explains how to write Claude Code plugin hooks, both prompt-based checks and bash commands, for events such as PreToolUse, Stop and SessionStart.
farm-fe/farm
A skill your agent uses when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
obra/superpowers
Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.
anthropics/claude-plugins-official
Explains how to write agents for Claude Code plugins: the markdown file with YAML frontmatter, trigger descriptions, model and color settings, and system prompt design.
Azure/azqr
Create new skills, modify and improve existing skills, and measure skill performance.
alirezarezvani/claude-skills
Writes INVEST-checked user stories with acceptance criteria, splits epics, plans sprints from velocity and ranks the backlog with a weighted score.
alirezarezvani/claude-skills
OKR cascade toolkit for product leaders: generates aligned company-to-team OKRs from five strategy types and scores how well they line up.
alirezarezvani/claude-skills
App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store.
alirezarezvani/claude-skills
Design AWS architectures for startups using serverless patterns and IaC templates.
alirezarezvani/claude-skills
Calculates attribution, funnel and ROI figures for marketing campaigns with three Python scripts that need only the standard library.
alirezarezvani/claude-skills
Reverse-engineers a frontend, backend or fullstack codebase into a product requirements document with per-page docs, an enum dictionary and an API inventory.
Categories
Analyze auto-memory for promotion candidates, stale entries, consolidation opportunities, and health metrics. Memory Review is an agent skill from alirezarezvani/claude-skills. Analyze auto-memory for promotion candidates, stale entries, consolidation opportunities, and health metrics.
Memory Review fits situations like: the user runs /si:memory-review; asks what has been learned and what should be promoted.
Run `npx skills add alirezarezvani/claude-skills --skill memory-review -a claude-code`. Or copy the skill folder (engineering-team/self-improving-agent/skills/memory-review in alirezarezvani/claude-skills) into .claude/skills/memory-review in your project. Claude Code loads it when a task matches its description.
Run `npx skills add alirezarezvani/claude-skills --skill memory-review -a codex`. Or copy the skill folder (engineering-team/self-improving-agent/skills/memory-review in alirezarezvani/claude-skills) into .agents/skills/memory-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 alirezarezvani/claude-skills --skill memory-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/memory-review, .gemini/skills/memory-review, .github/skills/memory-review and .opencode/skills/memory-review in your project.
SKILL.md names no scripts, command-line tools or credentials: Memory 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.
Memory 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 1.1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Memory Review: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 296k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,829 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.
Source: alirezarezvani/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.