Official agent skill

Recall

by cursor in cursor/plugins

Reconstruct your recent working context from your own chat history, live state, and the shared record (user reports, prior fixes, incidents), then hand back a tight current-state brief.

OfficialNo licenceAuto-check passed

Install Recall

skills CLI
$ npx skills add cursor/plugins --skill recall -a claude-code

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

GitHub CLI
$ gh skill install cursor/plugins 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/cursor/plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/pstack/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
10k
Used in
7 other repos
Token cost
~1.3k tokens
SKILL.md length
792 words
Files
1
Skills in repo
99
Repo updated
First seen
Licence
None found

At a glance

Reconstruct your recent working context from your own chat history, live state, and the shared record (user reports, prior fixes, incidents), then hand back a tight current-state brief.

  • Works in 6 steps: Classify, then route. One specific prior… → Lock the scope before searching. Pin the… → Fan out across your chat history. Spawn… → …
  • Recall my work on X
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • What have I been working on

What it does

Recall is an agent skill from cursor/plugins, published by the product's own GitHub organization. Reconstruct your recent working context from your own chat history, live state, and the shared record (user reports, prior fixes, incidents), then hand back a tight current-state brief. Use for 'recall my work on X', 'catch me up', 'what have I been working on', 'where did I leave off', before starting or resuming work.

Its SKILL.md is about 1.3k 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: Cursor plugin specification and official plugins.

When your agent uses it

  • Recall my work on X
  • What have I been working on
  • Where did I leave off
  • Before starting

Example prompts

  • “recall my work on X”
  • “catch me up”
  • “what have I been working on”
  • “/recall”

Workflow steps

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

  1. Classify, then route. One specific prior chat to resume is the session-pickup playbook, not this. Turning habits into a durable skill is…
  2. Lock the scope before searching. Pin the window ("recent" is a real range, default the last 7 days), the topic if named, and the workspace…
  3. Fan out across your chat history. Spawn parallel subagents on a fast, cheap model, each taking a slice of the corpus. Tell every subagent…
  4. Sweep the shared record whenever the topic names a feature, file, subsystem, area, or bug. This is the default, not a judgment call, and…
  5. Verify against live state. Take the PRs, branches, and tickets that the mining and the sweep surfaced and check them with git and gh. When…
  6. Write the brief to the contract below. Group by thread. Stay on the named topic.

What it can do on your machine

Read from SKILL.md and the folder at commit 9f451cf. 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.

    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

Recall loads about 1.3k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 792 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~82
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 792 words (~1,303 tokens).

“Before you start or resume work, you rebuild the user's recent working context and hand back a tight capsule of where things stand now and what to do next.”

— opening of SKILL.md by cursor
name
recall
disable-model-invocation
true

Read the full SKILL.md on GitHub

Files

Just SKILL.md in pstack/skills/recall of cursor/plugins.

Open the folder on GitHubat commit 9f451cf

Used in 7 other repositories

We found 7 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 7 other GitHub owners. This page covers the copy in cursor/plugins, 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 skillcursor/plugins10k7 repos~1.3kAutomated safety check: PassNone
Agentmemory Recallrohitg00/agentmemory29k—~557Automated safety check: PassApache-2.0
Cognee Memory Recalltopoteretes/cognee32k—~2.6kAutomated safety check: PassApache-2.0
Recallparcadei/Continuous-Claude-v33.9k1 repos~314Automated safety check: PassMIT
Recalldavepoon/buildwithclaude3.6k—~981Automated safety check: PassMIT
Hindsight Recallvectorize-io/hindsight46k—~312Automated safety check: PassMIT

Similar skills

  • 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 today
    Agent WorkflowsAuto-check passed
  • Cognee Memory Recall

    topoteretes/cognee

    Explains how to query cognee agent memory with recall(): how the search type is chosen, how to narrow a query to datasets, and what the returned results contain.

    32k GitHub stars~2.6k tokensUpdated today
    AI & LLM EngineeringAuto-check passed
  • Recall

    parcadei/Continuous-Claude-v3

    Query the memory system for relevant learnings from past sessions

    3.9k GitHub starsUsed in 1 repo~314 tokens
    Auto-check passed
  • Recall

    davepoon/buildwithclaude

    Search Origin's local memory by query. An agent skill from davepoon/buildwithclaude.

    3.6k GitHub stars~981 tokensUpdated yesterday
    Auto-check passed
  • Hindsight Recall

    vectorize-io/hindsight

    Search long-term memory for relevant context from past coding sessions using Hindsight MCP tools

    46k GitHub stars~312 tokensUpdated today
    Agent WorkflowsAuto-check passed
  • MemPalace Recall Protocol

    MemPalace/mempalace

    Makes the agent search the user's MemPalace memory before answering about past work, people, projects or earlier decisions.

    59k GitHub stars~1.7k tokensUpdated today
    Agent WorkflowsAuto-check passed

More from cursor/plugins

All 99 skills in this repo
  • Official

    Keeps a TSV decision log for long or unattended agent runs, one row per decision with what, why, evidence and result, so a reviewer can check the work later.

    10k GitHub starsUsed in 9 repos~1.6k tokens
    Auto-check passed
  • Official

    Digs into why code is shaped the way it is by checking git history, pull requests and connected tools in parallel, then reporting a cited read on the tradeoffs.

    10k GitHub starsUsed in 9 repos~2.6k tokens
    Auto-check passed
  • Official

    Starts three parallel reviewer subagents over the current conversation transcript, then turns their findings into concrete edits to existing skills.

    10k GitHub starsUsed in 5 repos~1.2k tokens
    Auto-check passed
  • Official

    Applies four layers of technical-writing rules to docs, RFCs, readmes, PR descriptions and commit messages so a tired engineer follows them on the first read.

    10k GitHub starsUsed in 10 repos~2.4k tokens
    Auto-check passed
  • Advisor Mode

    cursor/plugins

    Official

    Adds a second, stronger model that the main agent consults before major decisions, when stuck and before finishing, controlled by /advisor commands.

    10k GitHub stars~2.6k tokensUpdated today
    Auto-check: notes
  • Official

    Prepare PRs for review by cleaning noisy history, improving PR descriptions, and adding reviewer guidance without changing code behavior.

    10k GitHub starsUsed in 3 repos~569 tokens
    Auto-check passed

Questions about Recall

What does Recall do?

Reconstruct your recent working context from your own chat history, live state, and the shared record (user reports, prior fixes, incidents), then hand back a tight current-state brief. Recall is an agent skill from cursor/plugins, published by the product's own GitHub organization. Reconstruct your recent working context from your own chat history, live state, and the shared record (user reports, prior fixes, incidents), then hand back a tight current-state brief.

When should I use Recall?

Recall fits situations like: recall my work on X; what have I been working on; where did I leave off; before starting.

How do I install Recall in Claude Code?

Run `npx skills add cursor/plugins --skill recall -a claude-code`. Or copy the skill folder (pstack/skills/recall in cursor/plugins) 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 cursor/plugins --skill recall -a codex`. Or copy the skill folder (pstack/skills/recall in cursor/plugins) 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 cursor/plugins --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?

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

Does Recall 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 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?

No licence was found for Recall or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Recall use?

About 1.3k tokens (SKILL.md is roughly 5.2k 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: Agentmemory Recall (rohitg00/agentmemory, 29k stars), Cognee Memory Recall (topoteretes/cognee, 32k stars), Recall (parcadei/Continuous-Claude-v3, 3.9k stars) and Recall (davepoon/buildwithclaude, 3.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Recall?

cursor (a GitHub organization, an official publisher) maintains it in cursor/plugins, which has 10,130 GitHub stars. The repository holds 99 skills in this directory. The repository was last updated on October 6, 2026.

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