Agent skill

Memory Import

by Prismer-AI in Prismer-AI/PrismerCloud

Bulk-import an external knowledge base into Prismer memory via the three-layer import pipeline (07 §3.1).

MITAuto-check passedKnowledge Management

Install Memory Import

skills CLI
$ npx skills add Prismer-AI/PrismerCloud --skill memory-import -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Prismer-AI/PrismerCloud memory-import --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git skills-src && mkdir -p .claude/skills && cp -r skills-src/sdk/cloud/catalog/skills/memory-import .claude/skills/memory-import && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
memory-import
GitHub stars
1.6k
Token cost
~665 tokens
SKILL.md length
221 words
Files
1
Skills in repo
88
Repo updated
First seen
Licence
MIT

At a glance

Bulk-import an external knowledge base into Prismer memory via the three-layer import pipeline (07 §3.1).

  • The user asks to import/migrate documents
  • SKILL.md covers Layer 1 — land the documents…, Layer 2 — distill (YOUR LLM,… and Layer 3 — commit (cloud-side…
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • A knowledge base

What it does

Memory Import is an agent skill from Prismer-AI/PrismerCloud. Bulk-import an external knowledge base into Prismer memory via the three-layer import pipeline (07 §3.1). Use when the user asks to import/migrate documents, a knowledge base, or notes into workspace memory. Layer 1 lands raw documents (zero LLM, instantly searchable); Layer 2 is YOUR distillation work — you read the landed documents and write candidate pages; Layer 3 commits candidates through the memory evolution gate. Distinct from the native memorywrite tool face (that is for single, in-conversation writes).

Its SKILL.md is about 670 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Knowledge Management, covering Knowledge bases and Agent memory. The licence is MIT.

When your agent uses it

  • The user asks to import/migrate documents
  • A knowledge base
  • Notes into workspace memory

Example prompts

  • “/memory-import”

What it can do on your machine

Read from SKILL.md and the folder at commit e5d9444. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Memory Import loads about 665 tokens when it runs. Until then it costs about 133 tokens; SKILL.md has 221 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~133
When it runs · the whole SKILL.md, loaded when a task matches
~665

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Prismer-AI/PrismerCloud at commit e5d9444, republished under its MIT licence (© Prismer-AI). 221 words, ~665 tokens.

Download SKILL.mdSave it as .claude/skills/memory-import/SKILL.md (or your agent's skills folder).
name
memory-import
description
Bulk-import an external knowledge base into Prismer memory via the three-layer import pipeline (07 §3.1). Use when the user asks to import/migrate documents, a knowledge base, or notes into workspace memory. Layer 1 lands raw documents (zero LLM, instantly searchable); Layer 2 is YOUR distillation work — you read the landed documents and write candidate pages; Layer 3 commits candidates through the memory evolution gate. Distinct from the native memory_write tool face (that is for single, in-conversation writes).
scope
common

Memory Import

Bulk-import external material into workspace memory through a session — the unit of quota, audit, and gate evaluation. Three layers, two of which are yours:

Layer 1 — land the documents (zero LLM, do this first)

bash
cloud memory imports open --workspace <ws>          # → { id }
cloud memory imports write-documents <id> --workspace <ws> --documents '[{"name":"…","content":"…"}]'

Raw documents become searchable in seconds. No quality bar here — that is Layer 2's job.

Layer 2 — distill (YOUR LLM, your compute)

Read the landed documents, then author candidate pages and submit them:

  • One page per coherent topic, attached under the right hub (<hub>/<topic>.pkf, relative to the Memory root; do not prepend another memory/).
  • Every candidate MUST carry the memory frontmatter block — the pipeline rejects the whole batch otherwise: {"type":"note","title":"…","description":"…","memory":{"memoryRole":"knowledge|procedure|action_result","source":"<where this came from, in words a human can read>"}}.
  • Distill, don't dump: conclusions and procedures, not transcripts. The raw documents stay in Layer 1 as the reference layer.
bash
cloud memory imports write-batch <id> --workspace <ws> --candidates '[{"pagePath":"…","contentDiff":"<full PKF body>"}]'

Layer 3 — commit (cloud-side gate, zero negotiation)

bash
cloud memory imports commit <id> --workspace <ws>   # runs the evolution gate
cloud memory imports status <id> --workspace <ws>   # per-candidate verdicts

The gate REJECTS batches that lose retrieval coverage (a candidate replacing a page must not delete its keywords) or lack metadata. A rejected commit is final for the session: read the verdict, fix the candidates, open a NEW session, resubmit. Never re-submit an identical rejected batch — the Ledger rejects same-shape candidates for 30 days.

Routing: raw archive / small batch → L1 + owner review. Knowledge-base migration / high-quality distillation → L1 → L2 → L3 (semantic work on YOUR compute; the cloud only gates and records).

© Prismer-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in sdk/cloud/catalog/skills/memory-import of Prismer-AI/PrismerCloud.

Open the folder on GitHubat commit e5d9444

Compare with similar skills

Memory Import next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Memory Import compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Memory Import this skillPrismer-AI/PrismerCloud1.6k—~665Automated safety check: PassMIT
Claude-Mem Knowledge Agentthedotmack/claude-mem99k—~617Automated safety check: PassApache-2.0
LLM WikiYeachan-Heo/oh-my-claudecode40k—~721Automated safety check: PassMIT
Forgetful File StorageScottRBK/forgetful301—~618Automated safety check: PassMIT
Basic Memory Setupbasicmachines-co/basic-memory4.1k—~3.9kAutomated safety check: PassAGPL-3.0
MemPalace Memory SearchMemPalace/mempalace59k—~1.4kAutomated safety check: PassMIT

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  • Claude-Mem Knowledge Agent

    thedotmack/claude-mem

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    99k GitHub stars~617 tokensUpdated today
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  • LLM Wiki

    Yeachan-Heo/oh-my-claudecode

    Keeps a persistent markdown wiki of project and session knowledge that the agent can ingest into, query, lint and read across sessions.

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    Stores screenshots, PDFs, diagrams, fonts and other binary files in the Forgetful knowledge base, with a retrieval-friendly description and an attachment route.

    301 GitHub stars~618 tokensUpdated today
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  • Basic Memory Setup

    basicmachines-co/basic-memory

    Runs a short guided interview that configures the Basic Memory plugin for a project: project mapping, note schemas, folder conventions and capture habits.

    4.1k GitHub stars~3.9k tokensUpdated today
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  • MemPalace Memory Search

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    59k GitHub stars~1.4k tokensUpdated yesterday
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Questions about Memory Import

What does Memory Import do?

Bulk-import an external knowledge base into Prismer memory via the three-layer import pipeline (07 §3.1). Memory Import is an agent skill from Prismer-AI/PrismerCloud.1).

When should I use Memory Import?

Memory Import fits situations like: the user asks to import/migrate documents; A knowledge base; notes into workspace memory.

How do I install Memory Import in Claude Code?

Run `npx skills add Prismer-AI/PrismerCloud --skill memory-import -a claude-code`. Or copy the skill folder (sdk/cloud/catalog/skills/memory-import in Prismer-AI/PrismerCloud) into .claude/skills/memory-import in your project. Claude Code loads it when a task matches its description.

How do I install Memory Import in Codex?

Run `npx skills add Prismer-AI/PrismerCloud --skill memory-import -a codex`. Or copy the skill folder (sdk/cloud/catalog/skills/memory-import in Prismer-AI/PrismerCloud) into .agents/skills/memory-import in your project. Codex loads it when a task matches its description.

Can I use Memory Import in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Prismer-AI/PrismerCloud --skill memory-import -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memory-import, .gemini/skills/memory-import, .github/skills/memory-import and .opencode/skills/memory-import in your project.

What does Memory Import need to run?

SKILL.md names no scripts, command-line tools or credentials: Memory Import is instructions for the agent only.

Does Memory Import access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Memory Import safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Memory Import use?

Memory Import is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Memory Import use?

About 665 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Memory Import?

Skills that share tags, products or a category with Memory Import: Claude-Mem Knowledge Agent (thedotmack/claude-mem, 99k stars), LLM Wiki (Yeachan-Heo/oh-my-claudecode, 40k stars), Forgetful File Storage (ScottRBK/forgetful, 301 stars) and Basic Memory Setup (basicmachines-co/basic-memory, 4.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Memory Import?

Prismer-AI (a GitHub organization) maintains it in Prismer-AI/PrismerCloud, which has 1,555 GitHub stars. The repository holds 88 skills in this directory. The repository was last updated on September 30, 2026.

Source: Prismer-AI/PrismerCloud on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.