Skillquality 0.70

memory

Use AI DevKit memory via CLI commands. Search before non-trivial work, store verified reusable knowledge, update stale entries, and avoid saving transcripts, secrets, or one-off task progress.

Price
free
Protocol
skill
Verified
no

What it does

AI DevKit Memory CLI

Use npx ai-devkit@latest memory ... as the durable knowledge layer.

Workflow

  1. For implementation, debugging, review, planning, or documentation tasks, search before deep work unless the task is trivial:

    npx ai-devkit@latest memory search --query "<task, subsystem, error, or convention>" --limit 5
    

    For broad or risky tasks, search multiple angles: subsystem, error text, framework, command, and task intent.

  2. Use results as context:

    • Trust repo files, tests, fresh command output, and explicit user instructions over memory.
    • If memory conflicts with verified evidence, use the evidence and update the stale memory.
    • Mention memory only when it changes the plan or avoids asking the user again.
  3. Search before storing:

    npx ai-devkit@latest memory search --query "<knowledge to store>" --table
    
  4. Store or update only after the quality gate passes.

Quality Gate

Before storing, all must be true:

  • Future sessions are likely to reuse it.
  • It is verified by code, docs, tests, command output, or explicit user instruction.
  • It is not merely a restatement of obvious nearby files unless it prevents repeated agent mistakes.
  • It is scoped narrowly enough.
  • Existing memory does not already cover it.
  • It contains no secrets, credentials, private customer data, personal data, raw logs, or temporary paths.

Store:

  • Project conventions, user preferences, durable decisions.
  • Reusable fixes, testing patterns, commands, setup gotchas.
  • Non-obvious constraints, architecture rules, failure patterns.

Do not store:

  • Task progress, transcripts, speculation, generic programming facts.
  • Raw errors without diagnosis.
  • Anything the user did not intend to persist.

Commands

Search

npx ai-devkit@latest memory search \
  --query "<query>" \
  --tags "<tags>" \
  --scope "<scope>" \
  --limit 5

Use --table to get IDs for updates:

npx ai-devkit@latest memory search --query "<query>" --table

Options: --query/-q required; --tags; --scope/-s; --limit/-l from 1-20; --table.

Store

npx ai-devkit@latest memory store \
  --title "<actionable title, 10-100 chars>" \
  --content "<context, guidance, evidence, exceptions>" \
  --tags "<lowercase,tags>" \
  --scope "<global|project:name|repo:org/repo>"

Use this content shape when helpful:

Context: Where this applies.
Guidance: What to do.
Evidence: File, command, test, or user instruction.
Exceptions: When not to apply it.

Update

Find the ID with search --table, then update only changed fields:

npx ai-devkit@latest memory update \
  --id "<memory-id>" \
  --title "<updated title>" \
  --content "<updated content>" \
  --tags "<replacement,tags>" \
  --scope "<updated scope>"

--tags replaces all existing tags.

Scoping

Use the narrowest useful scope:

  • repo:<org/repo> for one repository.
  • project:<name> for one app, product, or workspace.
  • global only for knowledge that applies across unrelated projects.

If unsure, use a narrower scope.

Troubleshooting

  • CLI missing: run npx ai-devkit@latest --version.
  • Duplicate title: search, then update the existing item if it is the same knowledge.
  • Empty results: broaden terms, remove filters, or search symptoms and subsystem names separately.
  • Validation error: check title/content lengths, query length, and --limit range.
  • DB path: default is ~/.ai-devkit/memory.db; project config can override it automatically.

Capabilities

skillsource-codeaholicguyskill-memorytopic-agent-skillstopic-ai-assisted-developmenttopic-antigravitytopic-claude-codetopic-codextopic-cursortopic-developmenttopic-engineeringtopic-engineering-enablementtopic-engineering-experiencetopic-prd

Install

Installnpx skills add codeaholicguy/ai-devkit
Transportskills-sh
Protocolskill

Quality

0.70/ 1.00

deterministic score 0.70 from registry signals: · indexed on github topic:agent-skills · 1174 github stars · SKILL.md body (3,552 chars)

Provenance

Indexed fromgithub
Enriched2026-05-03 00:52:57Z · deterministic:skill-github:v1 · v1
First seen2026-04-18
Last seen2026-05-03

Agent access