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Agent Skill

Recall skill

recallparcadei/Continuous-Claude-v3.claude/skills/recall/SKILL.md

Query the memory system for relevant learnings from past sessions

3.9kMIT

always on

14 tokname + description

once used

302 tokSKILL.md body

bundled files

0

repo stars

3.9kGitHub

Install the Recall skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/parcadei/Continuous-Claude-v3 --skill recall

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git /tmp/Continuous-Claude-v3
mkdir -p ~/.claude/skills
cp -R /tmp/Continuous-Claude-v3/.claude/skills/recall ~/.claude/skills/recall

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description14 tok
When the agent uses itThe SKILL.md instructions302 tok
Only if openedNo bundled files—

Until it is used, recall costs about 97× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 150 skills from parcadei/Continuous-Claude-v3 would load 2,175 tokens of descriptions. Skills vs MCP study

Checks

Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Recall - Semantic Memory Retrieval
  • Usage
  • Examples
  • What It Does
  • Execution
  • Output Format
  • Options

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