Query the memory system for relevant learnings from past sessions

MITAuto-check passed

Install Recall

skills CLI
$ npx skills add parcadei/Continuous-Claude-v3 --skill recall -a claude-code

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

GitHub CLI
$ gh skill install parcadei/Continuous-Claude-v3 recall --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/parcadei/Continuous-Claude-v3.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/recall .claude/skills/recall && 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
recall
GitHub stars
3.9k
Used in
1 other repo
Token cost
~314 tokens
SKILL.md length
102 words
Files
1
Skills in repo
141
Repo updated
First seen
Licence
MIT

At a glance

Query the memory system for relevant learnings from past sessions

  • Works in 3 steps: Runs semantic search against stored… → Returns top 5 results with full content → Shows learning type, confidence, and…
  • SKILL.md covers Usage, Examples, What It Does and Execution, plus 2 more sections
  • Calls uv

What it does

Recall is an agent skill from parcadei/Continuous-Claude-v3. Query the memory system for relevant learnings from past sessions

Its SKILL.md is about 310 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows. The licence is MIT.

Example prompts

  • “/recall”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Runs semantic search against stored learnings (PostgreSQL + BGE embeddings)
  2. Returns top 5 results with full content
  3. Shows learning type, confidence, and session context

What it can do on your machine

Read from SKILL.md and the folder at commit d07ff4b. 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

    Shell commands in SKILL.md call:

    • uv

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

  • Network

    No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

    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

Recall loads about 314 tokens when it runs. Until then it costs about 18 tokens; SKILL.md has 102 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~18
When it runs · the whole SKILL.md, loaded when a task matches
~314

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 parcadei/Continuous-Claude-v3 at commit d07ff4b, republished under its MIT licence (© parcadei). 102 words, ~314 tokens.

Download SKILL.mdSave it as .claude/skills/recall/SKILL.md (or your agent's skills folder).
name
recall
description
Query the memory system for relevant learnings from past sessions
user-invocable
false

Recall - Semantic Memory Retrieval

Query the memory system for relevant learnings from past sessions.

Usage

/recall <query>

Examples

/recall hook development patterns
/recall wizard installation
/recall TypeScript errors

What It Does

  1. Runs semantic search against stored learnings (PostgreSQL + BGE embeddings)
  2. Returns top 5 results with full content
  3. Shows learning type, confidence, and session context

Execution

When this skill is invoked, run:

bash
cd $CLAUDE_OPC_DIR && PYTHONPATH=. uv run python scripts/core/recall_learnings.py --query "<ARGS>" --k 5

Where <ARGS> is the query provided by the user.

Output Format

Present results as:

## Memory Recall: "<query>"

### 1. [TYPE] (confidence: high, id: abc123)
<full content>

### 2. [TYPE] (confidence: medium, id: def456)
<full content>

Options

The user can specify options after the query:

  • --k N - Return N results (default: 5)
  • --vector-only - Use pure vector search (higher precision)
  • --text-only - Use text search only (faster)

Example: /recall hook patterns --k 10 --vector-only

© parcadei, 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 .claude/skills/recall of parcadei/Continuous-Claude-v3.

Open the folder on GitHubat commit d07ff4b

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in parcadei/Continuous-Claude-v3, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Recall 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.

Recall compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Recall this skillparcadei/Continuous-Claude-v33.9k1 repos~314Automated safety check: PassMIT
Learning to Learn (OpenMAIC)THU-MAIC/OpenMAIC40k—~502Automated safety check: PassMIT
Project Learnings Managergarrytan/gstack136k—~8.2kAutomated safety check: NotesMIT
Agentmemory Recallrohitg00/agentmemory29k—~557Automated safety check: PassApache-2.0
Session History Searchslopus/happy24k—~3.1kAutomated safety check: PassMIT
Learn From Sessiontigerless-labs/autoharness9.2k—~280Automated safety check: PassMIT

Similar skills

  • A Chinese-language skill that embeds learning strategies like retrieval practice and self-explanation as a parallel goal inside an OpenMAIC subject lesson, without making study skills the topic.

    40k GitHub stars~502 tokensUpdated yesterday
    EducationAuto-check passed
  • Lets you review, search, prune and export the learnings gstack has collected across sessions, and surfaces them when a past fix or pattern comes up.

    136k GitHub stars~8.2k tokensUpdated today
    Agent WorkflowsAuto-check: notes
  • Agentmemory Recall

    rohitg00/agentmemory

    Searches agentmemory for past observations, sessions and learnings with hybrid keyword, vector and graph search, and reports only what comes back.

    29k GitHub stars~557 tokensUpdated 2 days ago
    Agent WorkflowsAuto-check passed
  • Searches past Claude Code, Codex and Cursor sessions and summarizes what was worked on, tried or decided, using extraction scripts instead of reading raw logs.

    24k GitHub stars~3.1k tokensUpdated yesterday
    Agent WorkflowsAuto-check passed
  • Learn From Session

    tigerless-labs/autoharness

    Use when the user says /learn or asks to save this lesson.

    9.2k GitHub stars~280 tokensUpdated yesterday
    Agent WorkflowsAuto-check passed
  • Scikit Learn

    K-Dense-AI/scientific-agent-skills

    Supports machine learning in Python with scikit-learn. An agent skill from K-Dense-AI/scientific-agent-skills.

    48k GitHub starsUsed in 1 repo~3.3k tokens
    Data & AnalyticsAuto-check: notes

More from parcadei/Continuous-Claude-v3

All 141 skills in this repo
  • Tldr Deep

    parcadei/Continuous-Claude-v3

    Full 5-layer analysis of a specific function. An agent skill from parcadei/Continuous-Claude-v3.

    3.9k GitHub starsUsed in 2 repos~677 tokens
    Auto-check passed
  • Compound Learnings

    parcadei/Continuous-Claude-v3

    Transform session learnings into permanent capabilities (skills, rules, agents).

    3.9k GitHub starsUsed in 1 repo~1.6k tokens
    Auto-check: notes
  • Gradient Methods

    parcadei/Continuous-Claude-v3

    Problem-solving strategies for gradient methods in optimization

    3.9k GitHub starsUsed in 3 repos~1k tokens
    Auto-check: notes
  • Debug Hooks

    parcadei/Continuous-Claude-v3

    Systematic hook debugging workflow. An agent skill from parcadei/Continuous-Claude-v3.

    3.9k GitHub starsUsed in 1 repo~863 tokens
    Auto-check: notes
  • Math

    parcadei/Continuous-Claude-v3

    Unified math capabilities - computation, solving, and explanation.

    3.9k GitHub starsUsed in 3 repos~1.6k tokens
    Auto-check: notes
  • Math Model Selector

    parcadei/Continuous-Claude-v3

    Routes problems to appropriate mathematical frameworks using expert heuristics

    3.9k GitHub starsUsed in 3 repos~841 tokens
    Auto-check passed

Questions about Recall

What does Recall do?

Query the memory system for relevant learnings from past sessions. Recall is an agent skill from parcadei/Continuous-Claude-v3.

How do I install Recall in Claude Code?

Run `npx skills add parcadei/Continuous-Claude-v3 --skill recall -a claude-code`. Or copy the skill folder (.claude/skills/recall in parcadei/Continuous-Claude-v3) into .claude/skills/recall in your project. Claude Code loads it when a task matches its description.

How do I install Recall in Codex?

Run `npx skills add parcadei/Continuous-Claude-v3 --skill recall -a codex`. Or copy the skill folder (.claude/skills/recall in parcadei/Continuous-Claude-v3) into .agents/skills/recall in your project. Codex loads it when a task matches its description.

Can I use Recall 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 parcadei/Continuous-Claude-v3 --skill recall -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/recall, .gemini/skills/recall, .github/skills/recall and .opencode/skills/recall in your project.

What does Recall need to run?

Going by SKILL.md and its folder, Recall needs the command-line tools its instructions call (uv). Our summary lists: Python 3.

Does Recall access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Recall 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 Recall use?

Recall 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 Recall use?

About 314 tokens (SKILL.md is roughly 1.3k 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 Recall?

Skills that share tags, products or a category with Recall: Learning to Learn (OpenMAIC) (THU-MAIC/OpenMAIC, 40k stars), Project Learnings Manager (garrytan/gstack, 136k stars), Agentmemory Recall (rohitg00/agentmemory, 29k stars) and Session History Search (slopus/happy, 24k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Recall?

parcadei (a GitHub user) maintains it in parcadei/Continuous-Claude-v3, which has 3,940 GitHub stars. The repository holds 141 skills in this directory. The repository was last updated on January 26, 2026.

Source: parcadei/Continuous-Claude-v3 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.