Tech Distiller
yaofeino1/tech-distiller
Collects technical documents from URLs, files, wikis or APIs, filters them by role or technical direction, and writes a structured report on architecture, algorithms and design decisions.
Summarizes what an AI coding session solved or discovered and publishes it to the team knowledge base with the teamai contribute command.
Install Share Session Learnings with the Team
$ npx skills add Tencent/teamai-cli --skill share -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Tencent/teamai-cli share --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/Tencent/teamai-cli.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skill-data/share .claude/skills/share && 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 "share" agent skill from https://github.com/Tencent/teamai-cli/tree/main/skill-data/share into .claude/skills/share/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "share", 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/Tencent/teamai-cli/tree/main/skill-data/shareType 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 Tencent/teamai-cli --skill share -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Tencent/teamai-cli share --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tencent/teamai-cli.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skill-data/share .agents/skills/share && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "share" agent skill from https://github.com/Tencent/teamai-cli/tree/main/skill-data/share into .agents/skills/share/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "share", 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 Tencent/teamai-cli --skill share -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Tencent/teamai-cli share --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tencent/teamai-cli.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skill-data/share .cursor/skills/share && 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 "share" agent skill from https://github.com/Tencent/teamai-cli/tree/main/skill-data/share into .cursor/skills/share/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "share", 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/Tencent/teamai-cli.git --path skill-data/share--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 Tencent/teamai-cli --skill share -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Tencent/teamai-cli share --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tencent/teamai-cli.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skill-data/share .gemini/skills/share && 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 "share" agent skill from https://github.com/Tencent/teamai-cli/tree/main/skill-data/share into .gemini/skills/share/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "share", 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 Tencent/teamai-cli shareInstalls 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 Tencent/teamai-cli --skill share -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Tencent/teamai-cli.git skills-src && mkdir -p .github/skills && cp -r skills-src/skill-data/share .github/skills/share && 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 "share" agent skill from https://github.com/Tencent/teamai-cli/tree/main/skill-data/share into .github/skills/share/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "share", 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 Tencent/teamai-cli --skill share -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Tencent/teamai-cli share --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tencent/teamai-cli.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skill-data/share .opencode/skills/share && 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 "share" agent skill from https://github.com/Tencent/teamai-cli/tree/main/skill-data/share into .opencode/skills/share/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "share", 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
share- GitHub stars
- 5.1k
- Token cost
- ~727 tokens
- SKILL.md length
- 362 words
- Files
- 2 (incl. references)
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Summarizes what an AI coding session solved or discovered and publishes it to the team knowledge base with the teamai contribute command.
- Works in 4 steps: Summarize: review the tools used, the… → Write the document: a Markdown document… → Save it: write the document to a… → …
- Wrapping up a long session after solving a tricky problem
- SKILL.md covers When to Use, How It Works, Document Template and Example, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
At the end of a useful session, the agent reviews the tools used, the problems solved and the patterns found, then writes a Markdown document covering the task, the key decisions and why they were made, the solution or workaround, which tools or skills helped, and the pitfalls. The document is written in Simplified Chinese, while commands, flags, paths and code identifiers stay as they are.
The document needs the frontmatter from `references/doc-template.md`, which also holds the tag taxonomy and is what makes the entry searchable. The agent saves the text to a temporary file and runs `teamai contribute` with the file path and a title. The result lands on the team repo's `teamai-learnings` branch under `learnings/` without a pull request, and teammates see it after their next `teamai pull`. The skill recommends running it as a sub-agent to keep the main session's context clean and keeping the write-up short and actionable. Publishing a reusable skill is a different flow, handled by the core skill.
When your agent uses it
- Wrapping up a long session after solving a tricky problem
- Recording a workflow or pattern the team should reuse
- Responding to a teamai reminder that a session is worth sharing
Example prompts
- “Share what we learned fixing the Kubernetes pod startup timeouts with the team.”
- “Write up this session's workaround for the flaky build and contribute it to the team knowledge base.”
- “Summarize today's debugging session and push it with teamai contribute.”
Requirements
- The `teamai` CLI
- Access to the team's knowledge base repository
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Summarize: review the tools used, the problems solved and the patterns found in this session
- Write the document: a Markdown document (language as above) covering
- Save it: write the document to a temporary file
- Push it to the team: run teamai contribute --file --title ""
What it can do on your machine
Read from SKILL.md and the folder at commit f287dcb. 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
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.
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
Share Session Learnings with the Team loads about 727 tokens when it runs, and up to ~1k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 362 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); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 362 words (~727 tokens).
“Summarize what this AI coding session taught you and push it to the team knowledge base.”
- name
- share
Files
SKILL.md and 1 other file (references) in skill-data/share of Tencent/teamai-cli.
- SKILL.md
- references/doc-template.md
Open the folder on GitHubat commit f287dcb
Compare with similar skills
Share Session Learnings with the Team 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 |
|---|---|---|---|---|---|---|
| Share Session Learnings with the Team this skillTencent/teamai-cli | 5.1k | — | ~727 | Automated safety check: Pass | Custom licence | |
| Tech Distilleryaofeino1/tech-distiller | 144 | — | ~1.2k | Automated safety check: Pass | None | |
| ZreadZreadAI/zread-skill | 177 | — | ~1.4k | Automated safety check: Pass | None | |
| LLM WikiCharlesHoskinson/sevenlayer | 116 | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| New LoopAI-Builder-Club/skills | 1.3k | — | ~1.2k | Automated safety check: Notes | None | |
| Docs Knowledge Baseagglayer/agglayer | 117 | — | ~344 | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Share Session Learnings with the Team
What does Share Session Learnings with the Team do?
Summarizes what an AI coding session solved or discovered and publishes it to the team knowledge base with the teamai contribute command. At the end of a useful session, the agent reviews the tools used, the problems solved and the patterns found, then writes a Markdown document covering the task, the key decisions and why they were made, the solution or workaround, which tools or skills helped, and the pitfalls. The document is written in Simplified Chinese, while commands, flags, paths and code identifiers stay as they are.
When should I use Share Session Learnings with the Team?
Share Session Learnings with the Team fits situations like: wrapping up a long session after solving a tricky problem; recording a workflow or pattern the team should reuse; responding to a teamai reminder that a session is worth sharing.
How do I install Share Session Learnings with the Team in Claude Code?
Run `npx skills add Tencent/teamai-cli --skill share -a claude-code`. Or copy the skill folder (skill-data/share in Tencent/teamai-cli) into .claude/skills/share in your project. Claude Code loads it when a task matches its description.
How do I install Share Session Learnings with the Team in Codex?
Run `npx skills add Tencent/teamai-cli --skill share -a codex`. Or copy the skill folder (skill-data/share in Tencent/teamai-cli) into .agents/skills/share in your project. Codex loads it when a task matches its description.
Can I use Share Session Learnings with the Team 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 Tencent/teamai-cli --skill share -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/share, .gemini/skills/share, .github/skills/share and .opencode/skills/share in your project.
What does Share Session Learnings with the Team need to run?
SKILL.md names no scripts, command-line tools or credentials: Share Session Learnings with the Team is instructions for the agent only. Our summary lists: The `teamai` CLI; Access to the team's knowledge base repository.
Does Share Session Learnings with the Team 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 Share Session Learnings with the Team 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. Review the folder before installing.
What licence does Share Session Learnings with the Team use?
Share Session Learnings with the Team has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Share Session Learnings with the Team use?
About 727 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 291 tokens, read only when the agent opens those files.
What are the alternatives to Share Session Learnings with the Team?
Skills that share tags, products or a category with Share Session Learnings with the Team: Tech Distiller (yaofeino1/tech-distiller, 144 stars), Zread (ZreadAI/zread-skill, 177 stars), LLM Wiki (CharlesHoskinson/sevenlayer, 116 stars) and New Loop (AI-Builder-Club/skills, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Share Session Learnings with the Team?
Tencent (a GitHub organization) maintains it in Tencent/teamai-cli, which has 5,143 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 7, 2026.
Source: Tencent/teamai-cli on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.