Add prerequisite install script for Python deps (self-contained skill)
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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/add-prerequisite-install-script-for-python-deps-self-contained-skill/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Add prerequisite install script for Python deps (self-contained skill) Compares
| Feature / Agent | Add prerequisite install script for Python deps (self-contained skill) | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/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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