GreptimeDB Dev Docker Image
GreptimeTeam/greptimedb
Packages a locally built GreptimeDB debug binary into a development-only Docker image for local-cluster testing, with an optional push to a dev registry.
Deploys with pre-flight checks and health verification. An agent skill from softspark/ai-toolkit.
$ npx skills add softspark/ai-toolkit --skill deploy -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install softspark/ai-toolkit deploy --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/softspark/ai-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/app/skills/deploy .claude/skills/deploy && 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 "deploy" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/deploy into .claude/skills/deploy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploy", 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/softspark/ai-toolkit/tree/main/app/skills/deployType 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 softspark/ai-toolkit --skill deploy -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install softspark/ai-toolkit deploy --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/app/skills/deploy .agents/skills/deploy && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deploy" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/deploy into .agents/skills/deploy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploy", 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 softspark/ai-toolkit --skill deploy -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install softspark/ai-toolkit deploy --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/app/skills/deploy .cursor/skills/deploy && 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 "deploy" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/deploy into .cursor/skills/deploy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploy", 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/softspark/ai-toolkit.git --path app/skills/deploy--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 softspark/ai-toolkit --skill deploy -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install softspark/ai-toolkit deploy --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/app/skills/deploy .gemini/skills/deploy && 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 "deploy" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/deploy into .gemini/skills/deploy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploy", 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 softspark/ai-toolkit deployInstalls 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 softspark/ai-toolkit --skill deploy -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/app/skills/deploy .github/skills/deploy && 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 "deploy" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/deploy into .github/skills/deploy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploy", 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 softspark/ai-toolkit --skill deploy -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install softspark/ai-toolkit deploy --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/app/skills/deploy .opencode/skills/deploy && 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 "deploy" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/deploy into .opencode/skills/deploy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deploy", 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.
deployDeploys with pre-flight checks and health verification. An agent skill from softspark/ai-toolkit.
Deploy is an agent skill from softspark/ai-toolkit. Deploys with pre-flight checks and health verification. Triggers: deploy, deployment, ship, release, push to prod.
Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `scripts/pre_deploy_check.py` and `templates/deployment-checklist.md`).
It sits in DevOps & Cloud, covering Deployment. It works with Docker. The repository describes itself as: Professional-grade AI coding toolkit: 94 skills, 44 agents, multi-platform (Claude, Cursor, Windsurf, Copilot, Gemini, Cline, Roo Code, Aider, Augment, Antigravity, Codex CLI… The licence is Apache-2.0.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit d64db2b. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashReadFrom allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Deploy loads about 743 tokens when it runs. Until then it costs about 30 tokens; SKILL.md has 196 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- `env_file` - .env or .env.$ENV existsallowed-tools: Bash, ReadAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from softspark/ai-toolkit at commit d64db2b, republished under its Apache-2.0 licence (© softspark). 196 words, ~743 tokens.
.claude/skills/deploy/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.$ARGUMENTS
Deploy application to target environment.
cat docker-compose.yml 2>/dev/null || cat Dockerfile 2>/dev/null || echo "no-docker"/deploy [environment]| Environment | Description |
|---|---|
dev | Development environment |
staging | Staging/QA environment |
prod | Production environment |
Run automated pre-deployment checks:
python3 ${CLAUDE_SKILL_DIR}/scripts/pre_deploy_check.py [environment]Returns JSON with pass/fail for each check:
git_clean - no uncommitted changesbranch - on main/master for productiondocker - services running (if applicable)env_file - .env or .env.$ENV existsbuild_artifacts - dist/build presenttests_ran - test result artifacts foundManual verification:
| Strategy | Use Case |
|---|---|
| Rolling | Zero-downtime, gradual |
| Blue-Green | Instant switch, easy rollback |
| Canary | Risk mitigation, gradual traffic |
| Recreate | Simple, allows downtime |
## Deployment Report
### Status: Success / Failed
### Details
- **Environment**: [env]
- **Version**: [version]
- **Started**: [timestamp]
- **Completed**: [timestamp]
### Steps
1. [Step 1] - Done
2. [Step 2] - Done
3. [Step 3] - Failed (if failed)
### Health Check
- [endpoint]: [status]
### Rollback
If needed: `[rollback command]`After deployment, update documentation:
| Change Type | Update |
|---|---|
| New release | CHANGELOG, release notes |
| Config changes | Deployment docs, procedures |
| New features | User documentation |
| Infrastructure | kb/procedures/deployment-*.md |
© softspark, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (scripts) in app/skills/deploy of softspark/ai-toolkit.
Open the folder on GitHubat commit d64db2b
Deploy 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 |
|---|---|---|---|---|---|---|
| Deploy this skillsoftspark/ai-toolkit | 179 | — | ~743 | Automated safety check: Notes | Apache-2.0 | |
| GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb | 6.7k | — | ~4k | Automated safety check: Notes | Apache-2.0 | |
| Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit | 259 | 6 repos | ~1.1k | Automated safety check: Notes | Custom licence | |
| LangBot Deployment Guidelangbot-app/LangBot | 18k | — | ~1.2k | Automated safety check: Notes | Apache-2.0 | |
| Reflexo ReleaseMyriad-Dreamin/typst.ts | 1.2k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Aspiremicrosoft/aspire.dev | 196 | 4 repos | ~1.1k | Automated safety check: Pass | MIT |
GreptimeTeam/greptimedb
Packages a locally built GreptimeDB debug binary into a development-only Docker image for local-cluster testing, with an optional push to a dev registry.
maslennikov-ig/claude-code-orchestrator-kit
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup…
langbot-app/LangBot
Deploys and configures a LangBot instance with Docker Compose or Kubernetes, covering config.yaml, the Box sandbox runtime, the plugin runtime and the global API key.
Myriad-Dreamin/typst.ts
Guide Reflexo/typst.ts release preparation and operator handoffs.
microsoft/aspire.dev
Orchestrates Aspire distributed applications using the Aspire CLI for running, debugging, and managing distributed apps.
Mr-funny/hbg-classical-poem-silk-video
Turn Chinese classical poems and ci into coherent vertical Chinese-art videos with poem-driven scene grouping, GPT ImageGen stills, Docker-only Gemini I2V, retained model-generated ambience, Gemini…
softspark/ai-toolkit
Prepare or verify a project QA environment with source identity, readiness, browser access, evidence paths and owned cleanup.
softspark/ai-toolkit
Accessibility validator: WCAG 2.1 AA, EN 301 549, EAA. An agent skill from softspark/ai-toolkit.
softspark/ai-toolkit
Analyzes code quality, complexity, patterns across codebase.
softspark/ai-toolkit
Drives a brief, specification, issue or existing PR through implementation, review, tests and QA to a ready PR.
softspark/ai-toolkit
Direct technical voice for docs, README, user-facing text. An agent skill from softspark/ai-toolkit.
softspark/ai-toolkit
Detect/generate/debug CI pipeline config (GitHub Actions, GitLab CI).
Works with
Categories
Deploys with pre-flight checks and health verification. An agent skill from softspark/ai-toolkit. Deploy is an agent skill from softspark/ai-toolkit. Deploys with pre-flight checks and health verification.
Deploy fits situations like: tasks that involve Deployment.
Run `npx skills add softspark/ai-toolkit --skill deploy -a claude-code`. Or copy the skill folder (app/skills/deploy in softspark/ai-toolkit) into .claude/skills/deploy in your project. Claude Code loads it when a task matches its description.
Run `npx skills add softspark/ai-toolkit --skill deploy -a codex`. Or copy the skill folder (app/skills/deploy in softspark/ai-toolkit) into .agents/skills/deploy in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add softspark/ai-toolkit --skill deploy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deploy, .gemini/skills/deploy, .github/skills/deploy and .opencode/skills/deploy in your project.
Going by SKILL.md and its folder, Deploy needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3; Docker. Its frontmatter pre-approves these tools: Bash, Read.
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.
Our automated static check of SKILL.md found notes only (mentions a .env file; pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. 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.
Deploy is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 743 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Deploy: GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars), Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 259 stars), LangBot Deployment Guide (langbot-app/LangBot, 18k stars) and Reflexo Release (Myriad-Dreamin/typst.ts, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
softspark (a GitHub user) maintains it in softspark/ai-toolkit, which has 179 GitHub stars. The repository holds 112 skills in this directory. The repository was last updated on October 7, 2026.
Source: softspark/ai-toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.