Skills Management
CodeAlive-AI/ai-driven-development
Search, find, discover, install, remove, update, review, deduplicate, list, move, optimise, and iterate on skills for AI coding agents.
SkillOpt-flavored offline training loop for any SKILL.md. An agent skill from rohitg00/pro-workflow.
$ npx skills add rohitg00/pro-workflow --skill skill-optimizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rohitg00/pro-workflow skill-optimizer --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/rohitg00/pro-workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skill-optimizer .claude/skills/skill-optimizer && 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 "skill-optimizer" agent skill from https://github.com/rohitg00/pro-workflow/tree/main/skills/skill-optimizer into .claude/skills/skill-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-optimizer", 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/rohitg00/pro-workflow/tree/main/skills/skill-optimizerType 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 rohitg00/pro-workflow --skill skill-optimizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rohitg00/pro-workflow skill-optimizer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rohitg00/pro-workflow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/skill-optimizer .agents/skills/skill-optimizer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skill-optimizer" agent skill from https://github.com/rohitg00/pro-workflow/tree/main/skills/skill-optimizer into .agents/skills/skill-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-optimizer", 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 rohitg00/pro-workflow --skill skill-optimizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rohitg00/pro-workflow skill-optimizer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rohitg00/pro-workflow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/skill-optimizer .cursor/skills/skill-optimizer && 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 "skill-optimizer" agent skill from https://github.com/rohitg00/pro-workflow/tree/main/skills/skill-optimizer into .cursor/skills/skill-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-optimizer", 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/rohitg00/pro-workflow.git --path skills/skill-optimizer--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 rohitg00/pro-workflow --skill skill-optimizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rohitg00/pro-workflow skill-optimizer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rohitg00/pro-workflow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/skill-optimizer .gemini/skills/skill-optimizer && 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 "skill-optimizer" agent skill from https://github.com/rohitg00/pro-workflow/tree/main/skills/skill-optimizer into .gemini/skills/skill-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-optimizer", 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 rohitg00/pro-workflow skill-optimizerInstalls 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 rohitg00/pro-workflow --skill skill-optimizer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rohitg00/pro-workflow.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/skill-optimizer .github/skills/skill-optimizer && 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 "skill-optimizer" agent skill from https://github.com/rohitg00/pro-workflow/tree/main/skills/skill-optimizer into .github/skills/skill-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-optimizer", 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 rohitg00/pro-workflow --skill skill-optimizer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install rohitg00/pro-workflow skill-optimizer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rohitg00/pro-workflow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/skill-optimizer .opencode/skills/skill-optimizer && 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 "skill-optimizer" agent skill from https://github.com/rohitg00/pro-workflow/tree/main/skills/skill-optimizer into .opencode/skills/skill-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-optimizer", 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.
skill-optimizerSkillOpt-flavored offline training loop for any SKILL.md. An agent skill from rohitg00/pro-workflow.
Skill Optimizer is an agent skill from rohitg00/pro-workflow. SkillOpt-flavored offline training loop for any SKILL.md. Treats accumulated learn-rule corrections as training trajectories, proposes bounded patches via an optimizer LLM, gates each candidate against a held-out validation set built from the user's own past corrections, and ships only candidates that demonstrably improve the score. Inspired by Microsoft SkillOpt's ReflACT pipeline (rollout → reflect → aggregate → select → update → evaluate) adapted to pro-workflow's SQLite store. Use when a skill has accumulated…
Its SKILL.md is about 1.3k 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, covering Skill management and Deep learning. It works with SQLite. The repository describes itself as: Claude Code learns from your corrections: self-correcting memory that compounds over 50+ sessions. Context engineering, parallel worktrees, agent teams, and 17 battle-tested…
Read from SKILL.md and the folder at commit 86d5f27. 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.
Shell commands in SKILL.md call:
sqlite3From 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.
Skill Optimizer loads about 1.3k tokens when it runs. Until then it costs about 155 tokens; SKILL.md has 466 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 466 words (~1,289 tokens).
“Train an existing SKILL.md the way a deep-learning optimizer trains weights: via rollouts, gradient-like reflections, validation-gated acceptance. No model retraining; only the skill markdown changes.”
Just SKILL.md in skills/skill-optimizer of rohitg00/pro-workflow.
Open the folder on GitHubat commit 86d5f27
Skill Optimizer 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 |
|---|---|---|---|---|---|---|
| Skill Optimizer this skillrohitg00/pro-workflow | 2.9k | — | ~1.3k | Automated safety check: Pass | None | |
| Skills ManagementCodeAlive-AI/ai-driven-development | 155 | — | ~6.2k | Automated safety check: Pass | MIT | |
| Frontmcp Setupagentfront/frontmcp | 146 | — | ~5.8k | Automated safety check: Pass | Apache-2.0 | |
| External Mindstudio Ascend Profiler DB Explorerascend-ai-coding/awesome-ascend-skills | 174 | — | ~1.4k | Automated safety check: Pass | None | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Darwin Skill Optimizeralchaincyf/darwin-skill | 6.2k | 1 repos | ~4.7k | Automated safety check: Pass | MIT |
CodeAlive-AI/ai-driven-development
Search, find, discover, install, remove, update, review, deduplicate, list, move, optimise, and iterate on skills for AI coding agents.
agentfront/frontmcp
A skill your agent uses when starting, scaffolding, or organizing a FrontMCP project.
ascend-ai-coding/awesome-ascend-skills
面向 Ascend PyTorch Profiler / msprof DB(如 ascendpytorchprofiler.db、msprof.db)的 SQL 分析技能。将自然语言问题(算子耗时、通信、下发、调度、schema/table 查询)转为安全可执行 SQL,并按需从官方文档提取表结构详情。
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
alchaincyf/darwin-skill
Scores SKILL.md files on a nine-dimension rubric, then improves them in a keep-or-revert loop with independent judge agents, test prompts, git history and human checkpoints.
addyosmani/agent-skills
Meta-skill for choosing which workflow skill fits the task at hand, plus always-on habits: surface assumptions, stop on confusion, push back, keep it simple and stay in scope.
rohitg00/pro-workflow
Compile a structured literature survey on any AI/ML topic. An agent skill from rohitg00/pro-workflow.
rohitg00/pro-workflow
Start, structure, and grow a persistent research wiki indexed in pro-workflow's SQLite knowledge base.
rohitg00/pro-workflow
Query pro-workflow wikis via SQLite FTS5 BM25 retrieval. An agent skill from rohitg00/pro-workflow.
rohitg00/pro-workflow
Provider-agnostic multi-LLM deliberation. An agent skill from rohitg00/pro-workflow.
rohitg00/pro-workflow
Auto-grow a pro-workflow wiki by running a budget-capped BFS research loop over pluggable source fetchers (web, arXiv, GitHub).
rohitg00/pro-workflow
Show session analytics, learning patterns, correction trends, heatmaps, and productivity metrics.
Works with
Categories
SkillOpt-flavored offline training loop for any SKILL.md. An agent skill from rohitg00/pro-workflow. Skill Optimizer is an agent skill from rohitg00/pro-workflow.md.
Skill Optimizer fits situations like: A skill has accumulated 8+ learn-rule rows and the user wants the skill itself to get better; not just longer.
Run `npx skills add rohitg00/pro-workflow --skill skill-optimizer -a claude-code`. Or copy the skill folder (skills/skill-optimizer in rohitg00/pro-workflow) into .claude/skills/skill-optimizer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add rohitg00/pro-workflow --skill skill-optimizer -a codex`. Or copy the skill folder (skills/skill-optimizer in rohitg00/pro-workflow) into .agents/skills/skill-optimizer 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 rohitg00/pro-workflow --skill skill-optimizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-optimizer, .gemini/skills/skill-optimizer, .github/skills/skill-optimizer and .opencode/skills/skill-optimizer in your project.
Going by SKILL.md and its folder, Skill Optimizer needs the command-line tools its instructions call (sqlite3).
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.
No licence was found for Skill Optimizer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.3k tokens (SKILL.md is roughly 5.2k 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 Skill Optimizer: Skills Management (CodeAlive-AI/ai-driven-development, 155 stars), Frontmcp Setup (agentfront/frontmcp, 146 stars), External Mindstudio Ascend Profiler DB Explorer (ascend-ai-coding/awesome-ascend-skills, 174 stars) and MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
rohitg00 (a GitHub user) maintains it in rohitg00/pro-workflow, which has 2,906 GitHub stars. The repository holds 41 skills in this directory. The repository was last updated on September 29, 2026.
Source: rohitg00/pro-workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.