bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Async deep research via Gemini Interactions API (no Gemini CLI dependency). RAG-ground queries on local files (--context), preview costs (--dry-run), structured JSON output, adaptive polling. Universal skill for 30+ AI agents including Claude Code, Amp, Codex, and Gemini CLI.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install 24601/agent-deep-researchExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Perform deep research powered by Google Gemini's deep research agent. Upload documents to file search stores for RAG-grounded answers. Manage research sessions with persistent workspace state.
Get a full capabilities manifest, decision trees, and output contracts:
uv run {baseDir}/scripts/onboard.py --agent
See AGENTS.md for the complete structured briefing.
| Command | What It Does |
|---|---|
uv run {baseDir}/scripts/research.py start "question" |
Launch deep research |
uv run {baseDir}/scripts/research.py start "question" --context ./path --dry-run |
Estimate cost |
uv run {baseDir}/scripts/research.py start "question" --context ./path --output report.md |
RAG-grounded research |
uv run {baseDir}/scripts/store.py query <name> "question" |
Quick Q&A against uploaded docs |
Credentials: This skill requires a Google/Gemini API key (one of GOOGLE_API_KEY, GEMINI_API_KEY, or GEMINI_DEEP_RESEARCH_API_KEY). The key is read from environment variables and passed to the google-genai SDK. It is never logged, written to files, or transmitted anywhere other than the Google Gemini API.
File uploads: The --context flag uploads local files to Google's ephemeral file search stores for RAG grounding. Sensitive files are automatically excluded: .env*, credentials.json, secrets.*, private keys (.pem, .key), and auth tokens (.npmrc, .pypirc, .netrc). Binary files are rejected by MIME type filtering. Build directories (node_modules, __pycache__, .git, dist, build) are skipped. The ephemeral store is auto-deleted after research completes unless --keep-context is specified. Use --dry-run to preview what would be uploaded without sending anything. Only files you explicitly point --context at are uploaded -- no automatic scanning of parent directories or home folders.
Non-interactive mode: When...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
Deep research and RAG-grounded file search powered by the Google Gemini Interactions API. A universal AI agent skill that works with Claude Code, Amp, Codex, OpenCode, Cursor, Gemini CLI, and 30+ other agents. No dependency on the Gemini CLI -- uses the google-genai Python SDK directly via uv run.
npx skills add 24601/agent-deep-research
# Claude Code
npx skills add 24601/agent-deep-research -a claude-code -g -y
# Amp
npx skills add 24601/agent-deep-research -a amp -g -y
# Codex
npx skills add 24601/agent-deep-research -a codex -g -y
# Gemini CLI
npx skills add 24601/agent-deep-research -a gemini-cli -g -y
# OpenCode
npx skills add 24601/agent-deep-research -a opencode -g -y
# Pi (badlogic/pi-mono)
npx skills add 24601/agent-deep-research -a pi -g -y
# OpenClaw / Clawdbot
npx skills add 24601/agent-deep-research -a openclaw -g -y
If you prefer manual installation for Pi:
# Clone to Pi's global skills directory
git clone https://github.com/24601/agent-deep-research.git ~/.pi/agent/skills/deep-research
# Or add to Pi settings.json to load from an existing directory
# ~/.pi/settings.json:
# { "skills": ["~/.agents/skills"] }
Then use /skill:deep-research in Pi, or let Pi auto-detect it from the description.
npx clawhub install agent-deep-research
Or browse at [clawhub.ai/skills/agent-deep-research](https://clawhub.ai/skills/agent-dee...
# Deep Research Skill
Perform deep research powered by Google Gemini's deep research agent. Upload documents to file search stores for RAG-grounded answers. Manage research sessions with persistent workspace state.
## For AI Agents
Get a full capabilities manifest, decision trees, and output contracts:
```bash
uv run {baseDir}/scripts/onboard.py --agent
```
See [AGENTS.md]({baseDir}/AGENTS.md) for the complete structured briefing.
| Command | What It Does |
|---------|-------------|
| `uv run {baseDir}/scripts/research.py start "question"` | Launch deep research |
| `uv run {baseDir}/scripts/research.py start "question" --context ./path --dry-run` | Estimate cost |
| `uv run {baseDir}/scripts/research.py start "question" --context ./path --output report.md` | RAG-grounded research |
| `uv run {baseDir}/scripts/store.py query <name> "question"` | Quick Q&A against uploaded docs |
## Security & Transparency
**Credentials**: This skill requires a Google/Gemini API key (one of `GOOGLE_API_KEY`, `GEMINI_API_KEY`, or `GEMINI_DEEP_RESEARCH_API_KEY`). The key is read from environment variables and passed to the `google-genai` SDK. It is never logged, written to files, or transmitted anywhere other than the Google Gemini API.
**File uploads**: The `--context` flag uploads local files to Google's ephemeral file search stores for RAG grounding. Sensitive files are automatically excluded: `.env*`, `credentials.json`, `secrets.*`, private keys (`.pem`, `.key`), and auth tokens (`.npmrc`, `.pypirc`, `.netrc`). Binary files are rejected by MIME type filtering. Build directories (`node_modules`, `__pycache__`, `.git`, `dist`, `build`) are skipped. The ephemeral store is auto-deleted after research completes unless `--keep-context` is specified. Use `--dry-run` to preview what would be uploaded without sending anything. Only files you explicitly point `--context` at are uploaded -- no automatic scanning of parent directories or home folders.
**Non-interactive mode**: When...# agent-deep-research
[](https://github.com/24601/agent-deep-research/actions/workflows/ci.yml)
[](LICENSE)
[](https://github.com/24601/agent-deep-research/releases)
Deep research and RAG-grounded file search powered by the Google Gemini Interactions API. A universal AI agent skill that works with Claude Code, Amp, Codex, OpenCode, Cursor, Gemini CLI, and [30+ other agents](https://skills.sh). No dependency on the Gemini CLI -- uses the `google-genai` Python SDK directly via `uv run`.
## Installation
```bash
npx skills add 24601/agent-deep-research
```
### Agent-specific installation
```bash
# Claude Code
npx skills add 24601/agent-deep-research -a claude-code -g -y
# Amp
npx skills add 24601/agent-deep-research -a amp -g -y
# Codex
npx skills add 24601/agent-deep-research -a codex -g -y
# Gemini CLI
npx skills add 24601/agent-deep-research -a gemini-cli -g -y
# OpenCode
npx skills add 24601/agent-deep-research -a opencode -g -y
# Pi (badlogic/pi-mono)
npx skills add 24601/agent-deep-research -a pi -g -y
# OpenClaw / Clawdbot
npx skills add 24601/agent-deep-research -a openclaw -g -y
```
### Pi agent (manual install)
If you prefer manual installation for [Pi](https://github.com/badlogic/pi-mono):
```bash
# Clone to Pi's global skills directory
git clone https://github.com/24601/agent-deep-research.git ~/.pi/agent/skills/deep-research
# Or add to Pi settings.json to load from an existing directory
# ~/.pi/settings.json:
# { "skills": ["~/.agents/skills"] }
```
Then use `/skill:deep-research` in Pi, or let Pi auto-detect it from the description.
### ClawHub (OpenClaw registry)
```bash
npx clawhub install agent-deep-research
```
Or browse at [clawhub.ai/skills/agent-deep-research](https://clawhub.ai/skills/agent-dee...Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
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