Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/answerdotai-persistent-python
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What's inside
- Skill name
persistent-python- Description
- None
- License
- Apache-2.0
- Instructions
- 18 lines in SKILL.md · view on GitHub
Before installing
- Instructions read files in your home folder (~/.ssh, ~/.aws…)
Agent Skills spec issues
- invalid YAML frontmatter: Nested mappings are not allowed in compact mappings at line 2, column 14:
- name: missing
- description: missing
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# Persistent Python ALWAYS use the `clikernel` MCP server for ALL Python work: writing code, editing code or notebooks, running or debugging anything, inspecting objects or packages, probing APIs, and transforming data. It is the workbench for every task in this environment. If the work could go through Python, it goes through clikernel. Do not fall back to `python -c`, shell heredocs, or ad hoc scripts. The server's `py` tool runs code in one persistent IPython session, so imports, variables, monkeypatches, and cached objects carry across calls. Check the clikernel MCP server instructions already in your context before the first call. The first `py` creates the kernel, and its reply opens with the startup banner: what is imported, and which cells to run next. Follow it. If the banner reports that project imports were skipped, or no banner appears, report that to the user before other work. Then run the guarded import block from `$XDG_CONFIG_HOME/clikernel/startup.py` (default `~/.config/clikernel/startup.py`) as one `py` call. That file is the single source of truth for bootstrap imports; never retype them from memory. The server instructions and startup docs cover the tools, notebook magics, output shape, interaction rules, reload gotchas, and pyskills workflow, so this skill does not repeat them. `list_pyskills()` shows the available tooling. Prefer a relevant pyskill over ad hoc code. ## Environment specifics The following apply specifically to this environment: - After a kernel restart or compaction, read `doc(f)` again for any tooling function whose docs are no longer in your context. - Read and search through clikernel tools, never Bash or the harness's file reader. For an overview, start with exhash's `open_doc` outline, then open one section. To view a file or a line range, use `view_file` from `fastcore.editskill`. Search with `rgapi`. Switch to `lnhashview_*` once an edit is plausible. - Use `exhash` for ALL edits -- code, tests, config, prose, notebook cells -- never the harness's built-in file-edit tools, and read with `lnhashview_*` (not the harness's file reader) the moment an edit is plausible. `aidialog.dlgskill` covers the structural cell/message operations exhash doesn't; `fastcore.tools` file editors are the rare fallback where exhash can't express a text edit. - Claude Code settings are plain JSON: `~/.claude/settings.json` (user-global), `.claude/settings.json` (project, committed), `.claude/settings.local.json` (project, personal); later files override earlier. Edit them with the normal kernel tooling (`lnhashview_file` + `%%exhash`), merging into existing keys rather than replacing, then verify with a duplicate-key-rejecting parse - `json.loads(s, object_pairs_hook=<raiser>)` - because `json.loads` alone silently keeps the last duplicate while the stricter serde parsers that also consume these files (codex) reject the file outright. Useful facts: a BARE tool name in `permissions.deny` removes that tool from the system prompt entirely, while a scoped rule (`Bash(rm *)`) only blocks matching calls; hooks live under `"hooks"` keyed by event (PreToolUse, SessionStart, UserPromptSubmit, ...); `skillOverrides` hides bundled skills (`"off"`, or `"user-invocable-only"` to keep the slash command usable by the user). Settings load at startup, so changes take effect from the next session. - Codex settings are TOML: `~/.codex/config.toml` is user-global, while trusted `.codex/config.toml` files apply from the project root down to the current directory, with the closest project file winning. CLI overrides have higher precedence. Hooks can live in `hooks.json` or inline `[hooks]` tables at user and project config layers; matching hooks from every active layer are merged. `PreToolUse` can inspect, deny, or rewrite Bash, `apply_patch`, MCP, and most other local tool calls. `[[skills.config]]` entries enable or disable skills by path, while `mcp_servers.<id>.enabled_tools` and `disabled_tools` control which MCP tools are exposed. Do not disable Bash or `apply_patch` merely because clikernel is preferred; first establish that sessions misuse them. Config changes take effect after restarting Codex.
From AnswerDotAI/aai-coding, Apache-2.0.
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Use CLI tools to inspect Python APIs and find, understand, view, and safely edit Jupyter notebooks and aidialog dialogs without a Python kernel.
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pyskills
AnswerDotAI
No description from the publisher yet.
SkillBFreshness: B★ 20Claude Code +9
Signals
- Stars
- 20
- Forks
- 7
- Open issues
- 0
- Last commit (this folder)
- Sep 24, 2026 (1 month ago)
- Last release
- Sep 4, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/AnswerDotAI/aai-coding
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from AnswerDotAI
- 0.597score
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Use kernel tools to inspect Python APIs and find, understand, view, and safely edit Jupyter notebooks and aidialog dialogs.
SkillBFreshness: B★ 20Claude Code +9 - 0.597score
cli-notebook-editing
AnswerDotAI
Use CLI tools to inspect Python APIs and find, understand, view, and safely edit Jupyter notebooks and aidialog dialogs without a Python kernel.
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Cite this page
persistent-python skill. Agent Mart. https://agentmart.dev/skills/answerdotai-persistent-python (last updated 2026-10-24)