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AI EngineeringJavaScript

Ijfw Recall

by FerroxLabs

Ijfw Recall is an AI Engineering skill for Claude Code, published by FerroxLabs in ijfw.

210 stars40 forkson FerroxLabs/ijfwAdded 2026/09/04Repository updated 2026/08/31
ai-agentsai-codingclaude-codecodexcursordeveloper-toolsgemini-cligithub-copilotmcpmcp-servermemorynodejstypescriptwindsurf
Install in seconds
Install Ijfw Recall
Copy Ijfw Recall into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/FerroxLabs/ijfw/tree/main/claude/skills/ijfw-recall ~/.claude/skills/ijfw-recall

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/FerroxLabs/ijfw.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
claude/skills/ijfw-recall/SKILL.md in FerroxLabs/ijfw
Installs to
~/.claude/skills/ijfw-recall
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering2970 skills

What Ijfw Recall does

Ijfw Recall surfaces relevant project memory at session start or when asked with recall-related prompts. It summarizes working and project memory entries and points to full text on request.

Ijfw Recall is cataloged under AI Engineering on DirSkills. Ijfw Recall comes from a repository tagged ai-agents, ai-coding, claude-code, codex and cursor.

Documentation

README

Execution

  1. Call ijfw_memory_recall with the current task or goal as the query. If no specific query, use the last user message or the project name.

  2. Also call ijfw_metrics to get tier sizes and last-update timestamps.

  3. Present findings grouped by tier:

WORKING MEMORY (hot -- .ijfw/memory/)
  <N> entries found
  - <key>: <one-line summary>  [<date>]
  ...

PROJECT MEMORY (project-level decisions)
  - <key>: <one-line summary>  [<date>]
  ...

NOTHING RECALLED
  Clean slate -- no relevant entries found for "<query>".
  Start a session to begin building memory.
  1. After presenting, offer in one line:

    <N> things recalled. Want the full text of any entry? (name it)

Rules

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Ijfw Recall

  • What else does FerroxLabs publish alongside Ijfw Recall?

    Ijfw Recall is one of 25 skills that DirSkills catalogs from FerroxLabs/ijfw, the repository it ships in. Its siblings there include Auto Memorize, Critique and IJFW AGENTS.md Manager. Each one is a separate skill with its own page in this directory, installs the same way Ijfw Recall does, and is maintained by FerroxLabs in that same repository. The rest of the collection is listed on the FerroxLabs/ijfw page.

  • How does Ijfw Recall compare to other AI Engineering skills?

    Ijfw Recall ranks #2694 by stars among the 2970 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Ijfw Recall against them. Open each page to compare what they document and how they install.

More from FerroxLabs/ijfw

Ijfw Recall is one of 25 skills cataloged on DirSkills from FerroxLabs/ijfw.

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IJFW AGENTS.md Manager

IJFW AGENTS.md Manager maintains a project's canonical AGENTS.md file and its marker blocks. Use it when updating agent instructions or regenerating the file from IJFW-generated agent data.
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IJFW Commit

IJFW Commit writes terse Conventional Commit messages with the right type, scope, and subject length. Use it when you need a clean git commit message and an optional follow-up critique run.
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IJFW Compress

IJFW Compress reduces prose in memory or context files while preserving headings, code blocks, URLs, paths, commands, dates, versions, and technical terms. Use it when you need to cut tokens without changing code or meaning.
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IJFW Compute

IJFW Compute runs sandboxed scripts for large or repetitive data tasks like log analysis, aggregation, deduping, and counting. It also supports indexing and searching findings so recurring questions can reuse prior results.
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