Skill Optimizer
May 14, 2026 · View on GitHub
Three Agent Skills for turning coding-agent work into better SKILL.md files:
- skill-miner — mine coding-agent history, archives, memories, and repeated work to surface skill-worthy workflows with evidence.
- skill-personalizer — audit and adapt newly created, downloaded, forked, or community skills to one user's own tools, habits, directories, and session history.
- skill-generalizer — turn local, private, personal skills into publishable skills for GitHub, marketplaces, teams, or public sharing.
Current release: v2.0.0. This is a major redesign from the original single-skill optimizer.
Project site: https://hqhq1025.github.io/skill-optimizer/
The split is intentional. Generating, personalizing, and publishing skills are different jobs:
| Goal | Skill | Optimization Direction |
|---|---|---|
| Mine repeated workflows | skill-miner | Scan real agent usage, cluster repeated workflows, and draft evidence-backed candidate skills. |
| Fit inward | skill-personalizer | Preserve the original optimizer's audit checks, then add local defaults, user phrasing, preferred tools, verification habits, and workflow shortcuts. |
| Publish outward | skill-generalizer | Remove private context, generalize examples, make install and README claims portable. |
See Research Background for related agent-skill ecosystems, comparable projects, and papers that motivate session mining, skill libraries, trigger auditing, progressive disclosure, and lifecycle governance.
Installation
Copy the command below into your agent's chat:
Claude Code
Install the skills from https://github.com/hqhq1025/skill-optimizer
Codex
Install the skills from https://github.com/hqhq1025/skill-optimizer into ~/.codex/skills/
Other Agent Skills-compatible agents
Install the skills from https://github.com/hqhq1025/skill-optimizer into ~/.agents/skills/
Manual install:
git clone https://github.com/hqhq1025/skill-optimizer.git /tmp/skill-optimizer
mkdir -p ~/.agents/skills
cp -r /tmp/skill-optimizer/skills/skill-miner ~/.agents/skills/
cp -r /tmp/skill-optimizer/skills/skill-personalizer ~/.agents/skills/
cp -r /tmp/skill-optimizer/skills/skill-generalizer ~/.agents/skills/
rm -rf /tmp/skill-optimizer
For Codex-only installs, use ~/.codex/skills/:
git clone https://github.com/hqhq1025/skill-optimizer.git /tmp/skill-optimizer
mkdir -p ~/.codex/skills
cp -r /tmp/skill-optimizer/skills/skill-generalizer ~/.codex/skills/
cp -r /tmp/skill-optimizer/skills/skill-miner ~/.codex/skills/
cp -r /tmp/skill-optimizer/skills/skill-personalizer ~/.codex/skills/
rm -rf /tmp/skill-optimizer
For Claude Code-only installs, use ~/.claude/skills/.
Platform Support
| Agent | Support level | Recommended path |
|---|---|---|
| Codex | Native Agent Skills, plus optional plugin metadata. | ~/.codex/skills/ or .agents/skills/ |
| Claude Code | Native skills in personal, project, and plugin scopes. | ~/.claude/skills/ or .claude/skills/ |
| Cursor | Native Agent Skills and rules/commands; skills are discoverable by Agent. | .agents/skills/, .cursor/skills/, or global skills |
| OpenCode | Native skill tool and repo/home skill discovery. | .agents/skills/, .opencode/skills/, or ~/.config/opencode/skills/ |
| Gemini CLI / Google agents | Agent Skills open format is documented by Google; GEMINI.md remains the always-on context mechanism. | .agents/skills/ or installer-managed skills |
The safest public layout is skills/<name>/SKILL.md in the repo plus install instructions that copy into .agents/skills/ or the target agent's native skill directory.
Usage
Ask for the direction you want:
Mine my coding-agent history and find repeated workflows that should become skills.
Audit and tune my installed skills; tell me which ones are undertriggering, too noisy, or too generic.
Turn this local skill into a public GitHub-ready skill.
I downloaded this skill. Tune it to my local workflow and usage habits.
This skill does not trigger when I say things naturally. Personalize it for me.
What Each Skill Does
skill-miner
- coding-agent session history, memory summaries, repo notes, repeated scripts, and project folders
- recurring user intents, shorthand, tool chains, artifacts, and verification patterns
- candidates that are repeated and non-obvious enough to become skills
- whether a candidate should stay personal, be generalized for publication, or be skipped
- includes
scripts/scan_sessions.pyfor a deterministic first-pass scan of Codex, Claude Code, Gemini/Antigravity task files, and exported transcripts from other agents - includes archived Codex sessions and rollout summaries by default, with flags to disable archive/summary sources
Example:
python3 skills/skill-miner/scripts/scan_sessions.py --days 30 --limit 300 --min-count 3
python3 skills/skill-miner/scripts/scan_sessions.py --export ~/Downloads/cursor-chat-export.json
python3 skills/skill-miner/scripts/scan_sessions.py --patterns ./my-patterns.json
python3 skills/skill-miner/scripts/scan_sessions.py --no-include-archives --no-include-summaries
skill-generalizer
- private paths, hosts, credentials, account names, transcript quotes, and internal repo facts
- public portability of commands, examples, README claims, and install instructions
- frontmatter that describes when to use the skill rather than the workflow
- packaging structure for public distribution
skill-personalizer
- local installed copies and nearby project instructions
- real user phrasing and recurring task patterns
- preferred CLIs, MCP tools, paths, aliases, and verification commands
- undertrigger, overtrigger, and unnecessary-question friction
- original optimizer-style audit checks: trigger fit, user reaction, workflow completion, static quality, conflicts, environment consistency, token economics, and P0/P1/P2 fixes
Compatibility
Works with agents that support the Agent Skills folder convention:
- Claude Code
- Codex
- Cursor
- OpenCode
- Gemini CLI
Research Background
This project is informed by Agent Skills ecosystem work and LLM-agent research on externalized memory, skill libraries, retrieval/routing, and long-context behavior. See docs/research-background.md.
AI And Search Visibility
- Project site: https://hqhq1025.github.io/skill-optimizer/
- LLM summary: llms.txt
- Full LLM context: llms-full.txt
- Structured metadata: repo-metadata.json
License
MIT