Add prerequisite install script for Python deps (self-contained skill)

181 stars

Best use case

Add prerequisite install script for Python deps (self-contained skill) is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Teams using Add prerequisite install script for Python deps (self-contained skill) should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/0100/SKILL.md --create-dirs "https://raw.githubusercontent.com/majiayu000/claude-skill-registry/main/skills/data/0100/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/0100/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Add prerequisite install script for Python deps (self-contained skill) Compares

Feature / AgentAdd prerequisite install script for Python deps (self-contained skill)Standard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

This skill provides specific capabilities for your AI agent. See the About section for full details.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Context

The skill is script-heavy and evolving fast. When Python dependencies are missing, agents currently discover failures late (mid-command) and then waste tokens installing packages ad-hoc. This also reduces reproducibility across machines.

# Goal

Provide a one-shot, stdlib-only bootstrap script that:
- creates a local venv,
- installs the self-contained skill package (editable),
- optionally installs heavier indexing/embedding dependencies.

# Non-Goals

- Do not implement a server runtime.
- Do not require users to maintain a separate `requirements.txt`.
- Do not install anything globally; keep installs within a repo-local venv.

# Approach

- Add `skills/kano-agent-backlog-skill/scripts/dev/install_prereqs.py` (stdlib-only).
- Default behavior: create `.venv/` and install `skills/kano-agent-backlog-skill` with `[dev]` extras.
- Optional flag: `--with-embeddings` to install embedding/FAISS deps (best-effort).
- Document the entrypoint in repo `README.md` and `AGENTS.md`.

# Alternatives

- Let scripts fail and ask the agent to install missing deps (current; wastes tokens).
- Commit a frozen lockfile and require exact sync (too heavy for pre-alpha demo).

# Acceptance Criteria

- A single command exists that creates a venv and installs required deps for the skill scripts.
- The command is documented in `README.md` and `AGENTS.md`.
- The script uses only stdlib so it can run before any dependencies are installed.

# Risks / Dependencies

- Some embedding deps are platform-dependent; keep them optional and best-effort.

# Worklog

2026-01-10 02:05 [agent=codex] Planned: add a one-shot script to create venv and install required Python deps so agents don't waste tokens installing ad-hoc.
2026-01-10 02:11 [agent=codex] Ready: bootstrap script and docs are specified with acceptance criteria.
2026-01-10 02:11 [agent=codex] Done: added stdlib-only install script and documented usage in README.md and AGENTS.md.

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