nanoclaw-repl
by affaan-mnanoclaw-repl is a session-aware REPL skill for operating and extending NanoClaw v2. It supports persistent markdown-backed sessions, branching, search, compaction, model switching, and export for Workflow Automation. Use this nanoclaw-repl guide to keep local tasks deterministic and easy to resume.
This skill scores 68/100, which means it is listable but best suited for users who already want NanoClaw REPL-specific operations. The repository gives a clear trigger, a concrete set of REPL capabilities, and a few operating rules, but it lacks deeper execution detail, examples, and supporting assets that would reduce adoption guesswork further.
- Clear trigger: explicitly says to use the skill when running or extending `scripts/claw.js`.
- Concrete capability list: session persistence, model switching, branching, search, compaction, export, and metrics are all named.
- Useful operating rules: task-focused sessions, branch before high-risk changes, compact after milestones, and export before sharing.
- No install command, scripts, or examples, so agents still need some inference to apply the skill correctly.
- Support material is sparse: no references, resources, or code fences, which limits step-by-step operational clarity.
Overview of nanoclaw-repl skill
nanoclaw-repl is a workflow skill for operating and extending NanoClaw v2, a zero-dependency, session-aware REPL built on claude -p. It is best for people who need a persistent conversational workspace for coding, debugging, and iterative automation rather than a one-off prompt. The main job-to-be-done is to keep work organized across sessions while preserving history, branches, and exports in a markdown-backed format.
Who this skill is for
Use the nanoclaw-repl skill if you are working in a repo that already uses scripts/claw.js, or you want a local, deterministic REPL flow for Claude-driven tasks. It is especially useful when you need to revisit prior context, split risky work into branches, or archive outputs in a portable format.
What makes nanoclaw-repl different
The key value of the nanoclaw-repl skill is session persistence with lightweight operations: model switching, dynamic skill loading, branching, search, compaction, and export. That makes it more than a generic prompt wrapper. The design also emphasizes markdown as the source of truth, which matters if you want sessions to stay readable and easy to move between tools.
When it is a good fit
Choose this skill when your workflow depends on repeatable interaction, history recall, and controlled iteration. It is a strong fit for Workflow Automation tasks where local state, traceability, and deterministic command handling matter more than breadth of integrations.
How to Use nanoclaw-repl skill
Install and locate the entry point
For a nanoclaw-repl install, add the skill with:
npx skills add affaan-m/everything-claude-code --skill nanoclaw-repl
Then start with SKILL.md and confirm whether your repo actually uses scripts/claw.js. That file is the practical entry point for nanoclaw-repl usage; the skill is meant to guide how you run and extend that REPL, not to replace the repo’s own logic.
Read these files first
Begin with SKILL.md, then inspect any repo docs or adjacent files that explain command behavior, session storage, or local conventions. In this repository snapshot, there are no extra rules/, resources/, or scripts/ helpers beyond the main skill file, so the skill guide itself is the primary source. If you are adapting the workflow, read the implementation around scripts/claw.js before changing prompts or command handlers.
Turn a rough goal into a good prompt
For best results, describe the session goal, the action type, and the safety boundary. For example: “Use nanoclaw-repl to inspect the current session, branch before edits, and export the final state to markdown after we update the command flow.” That is stronger than “help me use the REPL” because it tells the skill what state to preserve, what risk level to assume, and what output to produce.
Practical workflow tips
Work in short, task-focused sessions. Branch before high-risk changes, compact after a milestone, and export before sharing or archiving. If you need better output quality, specify whether you want search across past sessions, a model change, or a clean export format (md, json, or txt) so the skill can choose the right path instead of guessing.
nanoclaw-repl skill FAQ
Is nanoclaw-repl just a prompt template?
No. The nanoclaw-repl skill is closer to an operating guide for a session-aware REPL than a generic instruction block. Its value comes from workflow structure: persistent markdown sessions, branching, search, compaction, and export.
Do I need to be an advanced user?
Not necessarily, but you do need to be comfortable with explicit commands and task scoping. Beginners can use nanoclaw-repl if they follow the session discipline, though they may need a few tries to understand when to branch or compact.
When should I not use it?
Do not reach for nanoclaw-repl if you want a simple one-shot answer with no session history, or if your environment cannot support a local markdown-backed workflow. It is also a poor fit if you need external dependencies or complex networked orchestration, because the skill is designed to stay zero-dependency and local.
How does it fit Workflow Automation?
nanoclaw-repl fits Workflow Automation when your automation needs to stay inspectable, deterministic, and easy to resume. It is less about chaining many services and more about managing stateful AI-assisted work with traceable transitions.
How to Improve nanoclaw-repl skill
Give the skill better session context
The biggest quality gain comes from telling nanoclaw-repl what the session is for, what has already been tried, and what must not change. Include the target file or command, the desired end state, and any constraints such as “keep markdown-compatible storage” or “avoid non-local dependencies.”
Be explicit about branching and exports
A common failure mode is letting a session drift. Prevent that by saying when to branch, what milestone should trigger compaction, and which export format you need at the end. This is especially important when using the nanoclaw-repl skill for reviewable automation or handoff.
Iterate from the output, not the prompt
If the first result is too broad, narrow the task to one command, one session, or one file at a time. If the result is too brittle, ask for the underlying rule or handler logic instead of asking for a rephrase. The best nanoclaw-repl guide usage is iterative: inspect, branch, compact, export, then refine the next step based on what the session actually did.