TeamAI Setup and Lifecycle
Tencent/teamai-cli
Walks a non-technical user through creating or joining a TeamAI team repo, then managing members, roles, MCP, and environment settings.
A skill your agent uses when mining coding-agent session history, archived transcripts, memories, or repeated local work to discover recurring workflows that should become new Agent Skills.
Install Skill Miner
$ npx skills add hqhq1025/skill-optimizer --skill skill-miner -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hqhq1025/skill-optimizer skill-miner --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/hqhq1025/skill-optimizer.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skill-miner .claude/skills/skill-miner && 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-miner" agent skill from https://github.com/hqhq1025/skill-optimizer/tree/main/skills/skill-miner into .claude/skills/skill-miner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-miner", 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/hqhq1025/skill-optimizer/tree/main/skills/skill-minerType 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 hqhq1025/skill-optimizer --skill skill-miner -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hqhq1025/skill-optimizer skill-miner --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hqhq1025/skill-optimizer.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/skill-miner .agents/skills/skill-miner && 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-miner" agent skill from https://github.com/hqhq1025/skill-optimizer/tree/main/skills/skill-miner into .agents/skills/skill-miner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-miner", 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 hqhq1025/skill-optimizer --skill skill-miner -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hqhq1025/skill-optimizer skill-miner --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hqhq1025/skill-optimizer.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/skill-miner .cursor/skills/skill-miner && 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-miner" agent skill from https://github.com/hqhq1025/skill-optimizer/tree/main/skills/skill-miner into .cursor/skills/skill-miner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-miner", 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/hqhq1025/skill-optimizer.git --path skills/skill-miner--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 hqhq1025/skill-optimizer --skill skill-miner -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hqhq1025/skill-optimizer skill-miner --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hqhq1025/skill-optimizer.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/skill-miner .gemini/skills/skill-miner && 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-miner" agent skill from https://github.com/hqhq1025/skill-optimizer/tree/main/skills/skill-miner into .gemini/skills/skill-miner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-miner", 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 hqhq1025/skill-optimizer skill-minerInstalls 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 hqhq1025/skill-optimizer --skill skill-miner -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hqhq1025/skill-optimizer.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/skill-miner .github/skills/skill-miner && 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-miner" agent skill from https://github.com/hqhq1025/skill-optimizer/tree/main/skills/skill-miner into .github/skills/skill-miner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-miner", 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 hqhq1025/skill-optimizer --skill skill-miner -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hqhq1025/skill-optimizer skill-miner --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hqhq1025/skill-optimizer.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/skill-miner .opencode/skills/skill-miner && 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-miner" agent skill from https://github.com/hqhq1025/skill-optimizer/tree/main/skills/skill-miner into .opencode/skills/skill-miner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-miner", 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.
Facts
- Skill name
skill-miner- GitHub stars
- 181
- Token cost
- ~719 tokens
- SKILL.md length
- 365 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 3
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when mining coding-agent session history, archived transcripts, memories, or repeated local work to discover recurring workflows that should become new Agent Skills.
- Works in 8 steps: Locate real evidence: session JSONL,… → Run scripts/scan_sessions.py for a… → Cluster repeated work by intent, trigger… → …
- Mining coding-agent session history
- SKILL.md covers Overview, When To Use, Workflow and Evidence Rules, plus 1 more section
- Runs Python scripts from its folder
What it does
Skill Miner is an agent skill from hqhq1025/skill-optimizer. Use when mining coding-agent session history, archived transcripts, memories, or repeated local work to discover recurring workflows that should become new Agent Skills.
Its SKILL.md is about 720 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/discovery-rubric.md` and `references/patterns.json`).
It sits in Agent Workflows, covering AI search optimization and Skill management. It works with GitHub. The repository describes itself as: Agent Skills lifecycle toolkit: mine repeated coding-agent workflows, audit and personalize skills, and generalize personal skills for public release. The licence is MIT.
When your agent uses it
- Mining coding-agent session history
- Archived transcripts
- Repeated local work to discover recurring workflows that should become new Agent Skills
Example prompts
- “/skill-miner”
Requirements
- Python 3
Workflow steps
8 steps, taken from the first numbered list in SKILL.md.
- Locate real evidence: session JSONL, memory summaries, repo notes, repeated scripts, and recent project folders.
- Run scripts/scan_sessions.py for a first-pass sanitized cluster report when local session files or exported transcripts are available.
- Cluster repeated work by intent, trigger phrasing, tools used, files touched, and verification pattern.
- Filter out one-off tasks, ordinary coding knowledge, and project-specific instructions better suited for AGENTS.md.
- Score candidates by recurrence, friction, risk, portability, and future value.
- For each strong candidate, draft a concise skill name, trigger description, workflow outline, bundled-resource needs, and validation…
- Recommend whether each candidate should stay personal, become a public skill via skill-generalizer, or be skipped.
- If the user asks to proceed, create the selected skill folders and verify frontmatter/layout.
What it can do on your machine
Read from SKILL.md and the folder at commit b9ffd15. 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
Ships 1 file in scripts/ (Python), which the agent can run.
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
Skill Miner loads about 719 tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 45 tokens; SKILL.md has 365 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.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from hqhq1025/skill-optimizer at commit b9ffd15, republished under its MIT licence (© hqhq1025). 365 words, ~719 tokens.
Download SKILL.mdSave it as
.claude/skills/skill-miner/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- skill-miner
- description
- Use when mining coding-agent session history, archived transcripts, memories, or repeated local work to discover recurring workflows that should become new Agent Skills.
Skill Miner
Overview
Mine real agent usage for new skill opportunities. The goal is to find repeated workflows, extract the reusable technique, and turn strong candidates into draft skills with evidence.
When To Use
- A user wants to scan past coding-agent sessions for repeated workflows.
- The user suspects they keep asking agents to do similar tasks manually.
- A team wants a backlog of candidate skills based on actual work rather than brainstorming.
- Existing memories, session logs, or project notes contain recurring procedures that have not been packaged.
Do not use to tune an existing skill; use skill-personalizer. Do not use to publish a private skill publicly; use skill-generalizer.
Workflow
- Locate real evidence: session JSONL, memory summaries, repo notes, repeated scripts, and recent project folders.
- Run
scripts/scan_sessions.pyfor a first-pass sanitized cluster report when local session files or exported transcripts are available. - Cluster repeated work by intent, trigger phrasing, tools used, files touched, and verification pattern.
- Filter out one-off tasks, ordinary coding knowledge, and project-specific instructions better suited for
AGENTS.md. - Score candidates by recurrence, friction, risk, portability, and future value.
- For each strong candidate, draft a concise skill name, trigger description, workflow outline, bundled-resource needs, and validation prompts.
- Recommend whether each candidate should stay personal, become a public skill via
skill-generalizer, or be skipped. - If the user asks to proceed, create the selected skill folders and verify frontmatter/layout.
Show full SKILL.md (130 more words)Show less
Evidence Rules
- Quote or summarize enough source evidence to justify each candidate.
- Do not expose sensitive transcript content unless the user explicitly asks for raw evidence.
- Avoid turning every repeated task into a skill; prefer workflows where guidance changes future behavior.
- Treat broad intent clusters as navigation hints, not skill drafts.
- Check sampled positives and near misses before trusting a regex-based workflow candidate.
- If session access is incomplete, label findings as partial and list what was scanned.
References
Read discovery-rubric.md before doing a full session-history scan or creating candidate skill drafts.
Use scripts/scan_sessions.py --help for the deterministic scanner. It supports native Codex/Claude/Gemini-style local evidence, --export inputs for other agents, and --patterns for personalized workflow definitions. Treat its output as evidence for review, not as an automatic decision to create skills.
© hqhq1025, 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 4 other files (scripts, references) in skills/skill-miner of hqhq1025/skill-optimizer.
- SKILL.md
- agents/openai.yaml
- references/discovery-rubric.md
- references/patterns.json
- scripts/scan_sessions.py
Open the folder on GitHubat commit b9ffd15
Compare with similar skills
Skill Miner 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 Miner this skillhqhq1025/skill-optimizer | 181 | — | ~719 | Automated safety check: Pass | MIT | |
| TeamAI Setup and LifecycleTencent/teamai-cli | 5.2k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Dotagentsgetsentry/sentry-wizard | 295 | — | ~900 | Automated safety check: Pass | Custom licence | |
| Skill Base CLIginuim/skill-base | 121 | — | ~1.9k | Automated safety check: Pass | None | |
| Octocode Skills Managerbgauryy/octocode | 949 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Skill ManagerLiangNiang/OpenMantis | 110 | — | ~459 | Automated safety check: Pass | Apache-2.0 |
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Questions about Skill Miner
What does Skill Miner do?
A skill your agent uses when mining coding-agent session history, archived transcripts, memories, or repeated local work to discover recurring workflows that should become new Agent Skills. Skill Miner is an agent skill from hqhq1025/skill-optimizer. Use when mining coding-agent session history, archived transcripts, memories, or repeated local work to discover recurring workflows that should become new Agent Skills.
When should I use Skill Miner?
Skill Miner fits situations like: mining coding-agent session history; archived transcripts; repeated local work to discover recurring workflows that should become new Agent Skills.
How do I install Skill Miner in Claude Code?
Run `npx skills add hqhq1025/skill-optimizer --skill skill-miner -a claude-code`. Or copy the skill folder (skills/skill-miner in hqhq1025/skill-optimizer) into .claude/skills/skill-miner in your project. Claude Code loads it when a task matches its description.
How do I install Skill Miner in Codex?
Run `npx skills add hqhq1025/skill-optimizer --skill skill-miner -a codex`. Or copy the skill folder (skills/skill-miner in hqhq1025/skill-optimizer) into .agents/skills/skill-miner in your project. Codex loads it when a task matches its description.
Can I use Skill Miner 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 hqhq1025/skill-optimizer --skill skill-miner -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-miner, .gemini/skills/skill-miner, .github/skills/skill-miner and .opencode/skills/skill-miner in your project.
What does Skill Miner need to run?
Going by SKILL.md and its folder, Skill Miner needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Skill Miner 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 Skill Miner 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Skill Miner use?
Skill Miner 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 Skill Miner use?
About 719 tokens (SKILL.md is roughly 2.9k 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 2.1k tokens, read only when the agent opens those files.
What are the alternatives to Skill Miner?
Skills that share tags, products or a category with Skill Miner: TeamAI Setup and Lifecycle (Tencent/teamai-cli, 5.2k stars), Dotagents (getsentry/sentry-wizard, 295 stars), Skill Base CLI (ginuim/skill-base, 121 stars) and Octocode Skills Manager (bgauryy/octocode, 949 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Skill Miner?
hqhq1025 (a GitHub user) maintains it in hqhq1025/skill-optimizer, which has 181 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on May 14, 2026.
Source: hqhq1025/skill-optimizer on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.