Agent skill

speckit-install

Install the Specify CLI on the host machine (uv tool install or uvx one-time); supports multiple OS, persistent or one-time install, and corporate or restricted-network environments. Use when the user says "install Spec Kit", "install Specify CLI", or "specify command not found".

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Install this agent skill to your Project

npx add-skill https://github.com/partme-ai/full-stack-skills/tree/main/skills/speckit-skills/speckit-install

SKILL.md

Spec Kit Install Skill

Install the Specify CLI so that specify is available in PATH (or use one-time uvx). This skill covers only installing the CLI; it does not run specify init. For project initialization after install, use speckit-initial.

When to Use

  • First-time Spec Kit setup ("install Spec Kit", "install Specify CLI").
  • CI or scripts that need to pre-install the CLI.
  • Upgrading the CLI (uv tool install --force).
  • User reports "specify command not found" or "specify: command not found".

Prerequisites

  • uv: Astral uv for installing the CLI. If uv is not installed, guide the user to install it first (e.g. curl -LsSf https://astral.sh/uv/install.sh | sh on Linux/macOS, or see uv docs for Windows).
  • Python 3.11+ when using uv (uv typically bundles or uses system Python).
  • Git (optional for install; required later for specify init with git).

Workflow

  1. Check if already installed

    • Suggest running specify --version or specify check. If the command succeeds, the CLI is already installed; suggest speckit-initial for project init or speckit-check for environment verification.
  2. Persistent install (recommended)

    • Run: uv tool install specify-cli --from git+https://github.com/github/spec-kit.git
    • This makes specify available in PATH for all projects.
    • Upgrade: uv tool install specify-cli --force --from git+https://github.com/github/spec-kit.git
  3. One-time usage (no PATH install)

    • Run: uvx --from git+https://github.com/github/spec-kit.git specify init <project_name_or_.> --ai <agent>
    • Use when the user does not want to install the tool permanently (e.g. quick try, CI one-off). Document that subsequent specify init or specify check in the same session can reuse the same uvx prefix or require re-running with full uvx --from ... if not installed.
  4. Corporate or restricted network

    • Set GH_TOKEN or GITHUB_TOKEN for GitHub API access if needed.
    • For specify init (handled in speckit-initial): --github-token <token> or env var. For install, uv may need network access to clone the repo; if TLS issues occur, document that uv/spec-kit may support --skip-tls or similar only where explicitly documented (avoid recommending insecure options unless user is in a controlled environment).

Outputs

  • Persistent install: specify is available in PATH; user can run specify init, specify check in any directory.
  • One-time: No change to PATH; user runs uvx --from git+https://github.com/github/spec-kit.git specify ... for each use.

Next Steps

  • After install: use speckit-initial to run specify init in a project, or speckit-check to verify the environment.

Different Environments

Environment Notes
Linux Install uv if needed; then uv tool install specify-cli --from git+https://github.com/github/spec-kit.git. WSL: same as Linux.
macOS Same as Linux; ensure Python 3.11+ available for uv if required.
Windows Install uv (see uv docs); use PowerShell or cmd. For project init, speckit-initial will use --script ps when needed.
Corporate / proxy Use GH_TOKEN/GITHUB_TOKEN if GitHub API is restricted; ensure uv can reach GitHub.
CI Prefer persistent install in a cacheable step: uv tool install specify-cli --from git+https://github.com/github/spec-kit.git; then run specify init or specify check in the same runner.

Troubleshooting

  • uv not found: Direct user to install uv.
  • Python version: uv usually manages Python; if errors mention Python, ensure 3.11+ is available.
  • Network / SSL: Check firewall, proxy, and GitHub access; avoid disabling TLS unless necessary and documented.
  • Permission errors: On Linux/macOS, user install with uv typically does not need sudo; if using system Python, consider user-level uv install.

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