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Np Core Capture Learning

ASecurity

Single entry point for capturing something worth remembering. Classifies the input as durable (→ nervepack repo) or session-scoped (→ local Claude memory store) and routes it to the right destination. Use when the user says "capture this", "remember this", "save this learning", "/capture", or "/learn" — any phrasing that signals "this is worth keeping" without specifying where.

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  • Added September 19, 2026
ai-agentsgodebugging

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A100/100

Scanned September 19, 2026

npx -y skills add pat-browne/nervepack --skill np-core-capture-learning --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: np-core-capture-learning
description: Single entry point for capturing something worth remembering. Classifies the input as durable (→ nervepack repo) or session-scoped (→ local Claude memory store) and routes it to the right destination. Use when the user says "capture this", "remember this", "save this learning", "/capture", or "/learn" — any phrasing that signals "this is worth keeping" without specifying where.
---

# np-core-capture-learning

The user-facing shortcut that hides the where-does-this-go decision behind
a single command. Internally it's a router: classify, then delegate to
either [[np-core-contribute]] or the local memory store.

## Trigger phrases

Any of these should invoke this skill:
- `/capture`, `/np-core-capture-learning`, `/learn`
- "capture this", "remember this", "save this learning"
- "this is worth keeping"

If the user explicitly says where it should go ("save to nervepack",
"add to memory") — skip this skill and use the targeted one directly
([[np-core-contribute]] or write to memory).

## The classification

Given a captured learning, ask: **would this still be useful to me on a
different project, a different machine, or six months from now?**

| Signal | Destination |
|---|---|
| Stable preference, rule, recurring pattern | **nervepack** (durable) |
| Environment quirk, tool gotcha, useful command | **nervepack** (durable) |
| Plugin choice, architectural taste | **nervepack** (durable) |
| Cross-cutting principle | **nervepack** (durable) |
| "Currently doing X" / "mid-debugging Y" | **memory** (session) |
| "Reminded me to do Z tomorrow" / "back from PTO Thursday" | **memory** (session) |
| Hostnames, paths, tokens, anything machine-specific | **memory** (session — and even then, avoid secrets) |
| Mid-conversation context the next session won't need | **memory** (session) |

When genuinely uncertain → **default to memory**. The daily
`memory-promote` cron will lift it to nervepack if it turns out to
be durable. Going the other way (demoting something out of nervepack) is
harder, so bias conservative.

## Steps

### 1. Classify
Read the user's intent. Apply the table above. State the verdict and the
reason in one sentence: "Saving to nervepack → it's a stable coding rule
that'll apply to every project" — or — "Saving to memory → it's about the
current PR you're debugging."

If the user disagrees, switch routes. They have final say.

### 2a. Durable → nervepack
Delegate to [[np-core-contribute]]. Follow its full protocol: preflight for other
writers, sync first, check `INDEX.md`, pick the right skill (extend over create),
write the edit, regenerate index, diff, commit, ask before push.

The preflight is not optional. Both repos are one working tree shared with other
sessions and with crons that commit to `skills/`, so a capture that skips it can
absorb another writer's uncommitted work into its commit, or be clobbered by
`skill-maintain`. That skill's § "Concurrency" carries the work-in-place vs
isolate-in-a-worktree decision.

Placement is that skill's job, and it resolves the path from the layer's own
layout. This skill never picks a directory.

### 2b. Session-scoped → memory
Draft the memory body, then run it through [[np-flow-concise-output]] —
"memory lesson" is explicitly in its scope, and this is the one path in this
skill that np-core-contribute's own gate (step 4) never touches. Then write
to `~/.claude/projects/<your-project>/memory/<short-kebab-name>.md`
using the auto-memory format (see the system prompt's "How to save
memories" section — frontmatter with `name:`, `description:`,
`metadata: { type: ... }`). Add a line to `MEMORY.md`. Use the right type:

| Content shape | `type:` |
|---|---|
| Who the user is, what they're focused on | `user` |
| Behavioural correction or validation | `feedback` |
| In-flight project state, deadline, motivation | `project` |
| Pointer to an external system (Linear, Slack, doc URL) | `reference` |

### 3. Report
One sentence: where it went and why. Include the file path so the user
can verify.

## Why this skill exists

Without it, the user has to remember the distinction:
- `/np-core-contribute` = durable, cross-machine
- auto-memory write = session-scoped, this machine

That's friction at the moment of capture, which is exactly when friction
matters. `/np-core-capture-learning` removes the cognitive overhead — the user
just says "save this", and the routing happens transparently.

## What this skill does NOT do

- Does not push to nervepack without confirmation (delegates to
  [[np-core-contribute]] which has the push gate).
- Does not promote past memory entries — that's the daily
  `memory-promote` cron's job.
- Does not capture secrets, credentials, or PII. If the content includes
  any, refuse with one sentence and ask the user to redact.

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