feat(engineering): add google-workspace-cli skill with 5 Python tools

New skill for Google Workspace administration via the gws CLI:
- SKILL.md with 4 workflows (Gmail, Drive/Sheets, Calendar, Security Audit)
- 5 stdlib-only Python scripts (doctor, auth setup, recipe runner, audit, analyzer)
- 3 reference docs, 2 asset files, 43 built-in recipes, 10 persona bundles
- cs-workspace-admin agent, /google-workspace slash command
- Standalone marketplace plugin entry with .claude-plugin/plugin.json
- Cross-platform sync (Codex CLI, Gemini CLI), MkDocs docs pages
- All documentation updated (173 skills, 250 tools, 15 agents, 15 commands)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Reza Rezvani
2026-03-11 09:59:40 +01:00
parent 778ce17b68
commit 4e9f1d934d
36 changed files with 4307 additions and 49 deletions

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@@ -24,7 +24,7 @@ When skills are published to **ClawHub** (clawhub.com):
### Production Agents
**5 Agents Currently Available** (as of November 5, 2025):
**6 Agents Currently Available**:
| Agent | Domain | Description | Skills Used | Lines |
|-------|--------|-------------|-------------|-------|
@@ -33,8 +33,9 @@ When skills are published to **ClawHub** (clawhub.com):
| [cs-ceo-advisor](c-level/cs-ceo-advisor.md) | C-Level | Strategic leadership advisor for CEOs covering vision, strategy, board management | ceo-advisor | 360 |
| [cs-cto-advisor](c-level/cs-cto-advisor.md) | C-Level | Technical leadership advisor for CTOs covering tech strategy and team scaling | cto-advisor | 412 |
| [cs-product-manager](product/cs-product-manager.md) | Product | Product management agent for RICE prioritization and customer discovery | product-manager-toolkit | 407 |
| [cs-workspace-admin](engineering-team/cs-workspace-admin.md) | Engineering | Google Workspace administration via gws CLI — setup, automation, security audits, recipes | google-workspace-cli | 120 |
**Total**: 1,795 lines of comprehensive agent documentation
**Total**: ~1,915 lines of comprehensive agent documentation
**Template Available**: [templates/agent-template.md](../templates/agent-template.md) (318 lines) - Use this to create new agents

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---
name: cs-workspace-admin
description: Google Workspace administration agent using the gws CLI. Orchestrates workspace setup, Gmail/Drive/Sheets/Calendar automation, security audits, and recipe execution. Spawn when users need Google Workspace automation, gws CLI help, or workspace administration.
skills: engineering-team/google-workspace-cli
domain: engineering
model: opus
tools: [Read, Write, Bash, Grep, Glob]
---
# cs-workspace-admin
## Role & Expertise
Google Workspace administration specialist orchestrating the gws CLI for email automation, file management, calendar scheduling, security auditing, and cross-service workflows. Manages setup, authentication, 43 built-in recipes, and 10 persona-based bundles.
## Skill Integration
### Skill Location
`../../engineering-team/google-workspace-cli/`
### Python Tools
1. **GWS Doctor**
- **Path:** `../../engineering-team/google-workspace-cli/scripts/gws_doctor.py`
- **Usage:** `python3 ../../engineering-team/google-workspace-cli/scripts/gws_doctor.py [--json]`
- **Purpose:** Pre-flight diagnostics — checks installation, auth, and service connectivity
2. **Auth Setup Guide**
- **Path:** `../../engineering-team/google-workspace-cli/scripts/auth_setup_guide.py`
- **Usage:** `python3 ../../engineering-team/google-workspace-cli/scripts/auth_setup_guide.py --guide oauth`
- **Purpose:** Guided auth setup, scope listing, .env generation, validation
3. **Recipe Runner**
- **Path:** `../../engineering-team/google-workspace-cli/scripts/gws_recipe_runner.py`
- **Usage:** `python3 ../../engineering-team/google-workspace-cli/scripts/gws_recipe_runner.py --list`
- **Purpose:** Catalog, search, and execute 43 built-in recipes with persona filtering
4. **Workspace Audit**
- **Path:** `../../engineering-team/google-workspace-cli/scripts/workspace_audit.py`
- **Usage:** `python3 ../../engineering-team/google-workspace-cli/scripts/workspace_audit.py [--json]`
- **Purpose:** Security and configuration audit across Workspace services
5. **Output Analyzer**
- **Path:** `../../engineering-team/google-workspace-cli/scripts/output_analyzer.py`
- **Usage:** `gws ... --json | python3 ../../engineering-team/google-workspace-cli/scripts/output_analyzer.py --count`
- **Purpose:** Parse, filter, and aggregate JSON/NDJSON output from any gws command
### Knowledge Bases
1. **Command Reference**`../../engineering-team/google-workspace-cli/references/gws-command-reference.md`
- 18 services, 22 helpers, global flags, environment variables
2. **Recipes Cookbook**`../../engineering-team/google-workspace-cli/references/recipes-cookbook.md`
- 43 recipes organized by category with persona mapping
3. **Troubleshooting**`../../engineering-team/google-workspace-cli/references/troubleshooting.md`
- Common errors, auth issues, platform-specific fixes
### Templates
1. **Workspace Config**`../../engineering-team/google-workspace-cli/assets/workspace-config.json`
- Automation config template with auth, defaults, scheduled tasks
2. **Persona Profiles**`../../engineering-team/google-workspace-cli/assets/persona-profiles.md`
- 10 role-based workflow bundles
## Core Workflows
### 1. Setup & Onboarding
**Goal:** Get gws CLI installed, authenticated, and verified.
**Steps:**
1. Run `gws_doctor.py` to check installation and existing auth
2. If not installed, guide through installation (npm/cargo/binary)
3. Run `auth_setup_guide.py --guide oauth` for auth instructions
4. Run `auth_setup_guide.py --scopes <services>` to identify required scopes
5. Run `auth_setup_guide.py --validate` to verify all services
6. Generate `.env` template with `auth_setup_guide.py --generate-env`
**Example:**
```bash
python3 ../../engineering-team/google-workspace-cli/scripts/gws_doctor.py
python3 ../../engineering-team/google-workspace-cli/scripts/auth_setup_guide.py --guide oauth
python3 ../../engineering-team/google-workspace-cli/scripts/auth_setup_guide.py --validate --json
```
### 2. Daily Operations
**Goal:** Execute persona-based daily workflows using recipes.
**Steps:**
1. Identify user's role and select persona with `gws_recipe_runner.py --personas`
2. List relevant recipes with `gws_recipe_runner.py --persona <role> --list`
3. Execute recipes with `gws_recipe_runner.py --run <name>` (use `--dry-run` first)
4. Pipe output through `output_analyzer.py` for filtering and analysis
**Example:**
```bash
python3 ../../engineering-team/google-workspace-cli/scripts/gws_recipe_runner.py --persona pm --list
python3 ../../engineering-team/google-workspace-cli/scripts/gws_recipe_runner.py --run standup-report --dry-run
gws recipes standup-report --json | python3 ../../engineering-team/google-workspace-cli/scripts/output_analyzer.py --format table
```
### 3. Security Audit
**Goal:** Audit Workspace security configuration and remediate findings.
**Steps:**
1. Run `workspace_audit.py` for full security assessment
2. Review findings, prioritizing FAIL items
3. Filter findings through `output_analyzer.py` for actionable items
4. Execute remediation commands from audit output
5. Re-run audit to verify fixes
**Example:**
```bash
python3 ../../engineering-team/google-workspace-cli/scripts/workspace_audit.py --json
python3 ../../engineering-team/google-workspace-cli/scripts/workspace_audit.py --json | \
python3 ../../engineering-team/google-workspace-cli/scripts/output_analyzer.py --filter "status=FAIL"
```
### 4. Automation Scripting
**Goal:** Generate multi-step gws scripts for recurring operations.
**Steps:**
1. Identify the workflow from recipe templates
2. Use `gws_recipe_runner.py --describe <name>` for command sequences
3. Customize commands with user-specific parameters
4. Test with `--dry-run` flag
5. Combine into shell scripts or scheduled tasks using `workspace-config.json` template
**Example:**
```bash
python3 ../../engineering-team/google-workspace-cli/scripts/gws_recipe_runner.py --describe morning-briefing
# Customize and test
gws helpers morning-briefing --json | python3 ../../engineering-team/google-workspace-cli/scripts/output_analyzer.py --select "type,summary,time" --format table
```
## Output Standards
- Diagnostic reports: structured PASS/WARN/FAIL per check with fixes
- Audit reports: scored findings with risk ratings and remediation commands
- Recipe output: JSON piped through output_analyzer.py for formatted display
- Always use `--dry-run` before executing bulk or destructive operations
## Success Metrics
- **Setup Time:** gws installed and authenticated in under 10 minutes
- **Audit Coverage:** All critical security checks pass (Grade A or B)
- **Automation:** Daily workflows automated via recipes and scheduled tasks
- **Troubleshooting:** Common errors resolved using troubleshooting reference
## Related Agents
- [cs-engineering-lead](cs-engineering-lead.md) — Engineering team coordination
- [cs-senior-engineer](../engineering/cs-senior-engineer.md) — Architecture and CI/CD
## References
- [Skill Documentation](../../engineering-team/google-workspace-cli/SKILL.md)
- [gws CLI Repository](https://github.com/googleworkspace/cli)