NotebookLM Research Assistant
PleasePrompto/notebooklm-skill
Lets Claude Code ask questions of your Google NotebookLM notebooks through browser automation and return answers grounded in your uploaded sources.
Use before starting non-trivial work that Honeycomb may already have prior context for (a past decision, a stated convention, where something lives), when a recalled memory should be cited and…
AGPL-3.0Auto-check: warnings
Install Honeycomb Memory
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add legioncodeinc/honeycomb --skill honeycomb-memory -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install legioncodeinc/honeycomb honeycomb-memory --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/legioncodeinc/honeycomb.git skills-src && mkdir -p .claude/skills && cp -r skills-src/harnesses/claude-code/skills/honeycomb-memory .claude/skills/honeycomb-memory && rm -rf skills-srcUse ~/.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/
Install the "honeycomb-memory" agent skill from https://github.com/legioncodeinc/honeycomb/tree/main/harnesses/claude-code/skills/honeycomb-memory into .claude/skills/honeycomb-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honeycomb-memory", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/legioncodeinc/honeycomb/tree/main/harnesses/claude-code/skills/honeycomb-memoryType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add legioncodeinc/honeycomb --skill honeycomb-memory -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install legioncodeinc/honeycomb honeycomb-memory --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/legioncodeinc/honeycomb.git skills-src && mkdir -p .agents/skills && cp -r skills-src/harnesses/claude-code/skills/honeycomb-memory .agents/skills/honeycomb-memory && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "honeycomb-memory" agent skill from https://github.com/legioncodeinc/honeycomb/tree/main/harnesses/claude-code/skills/honeycomb-memory into .agents/skills/honeycomb-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honeycomb-memory", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add legioncodeinc/honeycomb --skill honeycomb-memory -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install legioncodeinc/honeycomb honeycomb-memory --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/legioncodeinc/honeycomb.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/harnesses/claude-code/skills/honeycomb-memory .cursor/skills/honeycomb-memory && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "honeycomb-memory" agent skill from https://github.com/legioncodeinc/honeycomb/tree/main/harnesses/claude-code/skills/honeycomb-memory into .cursor/skills/honeycomb-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honeycomb-memory", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/legioncodeinc/honeycomb.git --path harnesses/claude-code/skills/honeycomb-memory--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add legioncodeinc/honeycomb --skill honeycomb-memory -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install legioncodeinc/honeycomb honeycomb-memory --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/legioncodeinc/honeycomb.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/harnesses/claude-code/skills/honeycomb-memory .gemini/skills/honeycomb-memory && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "honeycomb-memory" agent skill from https://github.com/legioncodeinc/honeycomb/tree/main/harnesses/claude-code/skills/honeycomb-memory into .gemini/skills/honeycomb-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honeycomb-memory", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install legioncodeinc/honeycomb honeycomb-memoryInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add legioncodeinc/honeycomb --skill honeycomb-memory -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/legioncodeinc/honeycomb.git skills-src && mkdir -p .github/skills && cp -r skills-src/harnesses/claude-code/skills/honeycomb-memory .github/skills/honeycomb-memory && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "honeycomb-memory" agent skill from https://github.com/legioncodeinc/honeycomb/tree/main/harnesses/claude-code/skills/honeycomb-memory into .github/skills/honeycomb-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honeycomb-memory", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add legioncodeinc/honeycomb --skill honeycomb-memory -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install legioncodeinc/honeycomb honeycomb-memory --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/legioncodeinc/honeycomb.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/harnesses/claude-code/skills/honeycomb-memory .opencode/skills/honeycomb-memory && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "honeycomb-memory" agent skill from https://github.com/legioncodeinc/honeycomb/tree/main/harnesses/claude-code/skills/honeycomb-memory into .opencode/skills/honeycomb-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honeycomb-memory", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
honeycomb-memory- GitHub stars
- 115
- Token cost
- ~982 tokens
- SKILL.md length
- 478 words
- Files
- 1
- Skills in repo
- 3
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
Use before starting non-trivial work that Honeycomb may already have prior context for (a past decision, a stated convention, where something lives), when a recalled memory should be cited and…
- Works in 3 steps: Search before non-trivial work → Cite recalled decisions, and zoom for… → Store with the right type
- SKILL.md covers 1. Search before non-trivial…, 2. Cite recalled decisions,…, 3. Store with the right type and Inert-safe
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Honeycomb Memory is an agent skill from legioncodeinc/honeycomb. Use before starting non-trivial work that Honeycomb may already have prior context for (a past decision, a stated convention, where something lives), when a recalled memory should be cited and possibly zoomed into for detail, or after a decision, preference, durable fact, or gotcha emerges that is worth remembering for next time. Searches with hivemindsearch/memorysearch, zooms a promising hit with hivemindread, and stores new memories with memorystore using the correct type.
Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Google Gemini. The repository describes itself as: AI coding agents forget. They forget across sessions, and they forget across tools. A decision you reached in Claude Code at midnight is invisible to Cursor the next morning…. The licence is AGPL-3.0.
Example prompts
- “/honeycomb-memory”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 19bc218. 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
Honeycomb Memory loads about 982 tokens when it runs. Until then it costs about 125 tokens; SKILL.md has 478 words of instructions outside code blocks.
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: warnings
The automated check found patterns that need a careful read before installing.
- WarningContains instruction-override wording (e.g. “without asking the user”)SKILL.md:62
empt to work around a missing tool, and do not tell the user memory
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 legioncodeinc/honeycomb at commit 19bc218, republished under its AGPL-3.0 licence (© legioncodeinc). 478 words, ~982 tokens.
Download SKILL.mdSave it as
.claude/skills/honeycomb-memory/SKILL.md (or your agent's skills folder).- name
- honeycomb-memory
- description
- Use before starting non-trivial work that Honeycomb may already have prior context for (a past decision, a stated convention, where something lives), when a recalled memory should be cited and possibly zoomed into for detail, or after a decision, preference, durable fact, or gotcha emerges that is worth remembering for next time. Searches with hivemind_search/memory_search, zooms a promising hit with hivemind_read, and stores new memories with memory_store using the correct type.
- when_to_use
- Before re-explaining a convention the user has already stated, before re-deciding something already decided, when the user asks "did we cover this before" or…
Honeycomb memory
Honeycomb is a cross-harness memory system. It stores decisions, conventions, preferences, facts, gotchas, and references, and makes them recallable across sessions and across harnesses through a local daemon exposed here as MCP tools. This skill teaches three behaviors; each points at one of those existing tools. It never invents a new tool.
1. Search before non-trivial work
Before starting a task that plausibly has prior context, e.g. it touches a past decision, a stated
convention, or "where does X live", call hivemind_search (or memory_search) with a query
describing the task FIRST, rather than asking the user to re-explain something they may have
already told Honeycomb.
hivemind_searchruns the hybrid recall (lexical + semantic, degraded-honest) over durable memory and returns refs you can zoom into.memory_searchis the direct memory-table search when you already know you want a memory, not a broader recall.
This is the token-cheap, model-driven complement to Honeycomb's always-on recall floor: it fires only when this skill decides it is relevant, not on every turn.
2. Cite recalled decisions, and zoom for detail
When a search surfaces a prior decision or convention, cite it in your work rather than silently
re-deciding it. If the hit is a summary and you need more detail, e.g. the exact wording, the
surrounding turns, use hivemind_read to zoom the ref down:
depth: 1(the default) resolves to the Tier-2 summary.depth: 2resolves to Tier-3 raw turns (bounded by the daemon's turn cap).
Do not silently ignore a recalled decision that conflicts with what you are about to do. Surface the conflict to the user instead of overriding it unprompted.
Show full SKILL.md (209 more words)Show less
3. Store with the right type
After a decision, a stated preference, or a durable fact emerges in the conversation, e.g. the user
picks an approach, corrects your assumption, or states a fact about the system, call memory_store
so it is recallable next time. Classify it using the closed memory-type taxonomy the tool publishes
in its own schema (do not invent a type outside this set):
fact(default): a stable, verifiable truth about the system, codebase, or domain.convention: how things are done here, idioms and patterns to follow by default.preference: the user/team's stated way of working, corrections and do/don't guidance.decision: an architectural or design choice and its rationale, don't relitigate it.gotcha: a non-obvious trap, failure mode, or constraint to watch out for.reference: a pointer to an external resource (URL, dashboard, ticket, doc).
Prefer the most specific type over fact when the content clearly fits convention,
preference, decision, gotcha, or reference instead.
Inert-safe
If the Honeycomb MCP server is not registered in this session, hivemind_search, memory_search,
hivemind_read, and memory_store simply are not in the available tool list. This skill has no
effect in that case: do not attempt to work around a missing tool, and do not tell the user memory
is unavailable unless asked.
© legioncodeinc, AGPL-3.0. 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 harnesses/claude-code/skills/honeycomb-memory of legioncodeinc/honeycomb.
Open the folder on GitHubat commit 19bc218
Compare with similar skills
Honeycomb Memory 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Honeycomb Memory this skilllegioncodeinc/honeycomb | 115 | — | ~982 | Automated safety check: Warn | AGPL-3.0 | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 14 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Brand and Design Toolkitnextlevelbuilder/ui-ux-pro-max-skill | 134k | 1 repos | ~3.5k | Automated safety check: Pass | MIT | |
| AI Image Generation and Editingzhayujie/CowAgent | 47k | — | ~1.3k | Automated safety check: Pass | MIT | |
| ModLens Image Vision Bridgeliustack/modlens | 4.2k | 1 repos | ~1.3k | Automated safety check: Notes | MIT | |
| OpenCLI Smart Search Routerjackwener/OpenCLI | 30k | 2 repos | ~753 | Automated safety check: Pass | Apache-2.0 |
Similar skills
Brand and Design Toolkit
nextlevelbuilder/ui-ux-pro-max-skill
Bundles design tasks behind one skill: brand identity, tokens, UI styling, logos, corporate identity mockups, slides, banners, icons and social images.
AI Image Generation and Editing
zhayujie/CowAgent
Generates or edits images from text prompts through a Python script that picks an image backend based on which API keys are configured.
ModLens Image Vision Bridge
liustack/modlens
Gives text-only models sight by running the modlens CLI on an image path or URL and returning structured JSON evidence with transcribed text, layout and semantics.
OpenCLI Smart Search Router
jackwener/OpenCLI
Routes a search question to the most suitable opencli source, normally one AI site plus up to two specialist sites, with call limits per question and a recap at the end.
NotebookLM Automation
teng-lin/notebooklm-py
Installs, authenticates and operates Gemini Notebook (NotebookLM) through the notebooklm-py CLI or its typed async Python API, for notebooks, sources, grounded chat and generated artifacts.
More from legioncodeinc/honeycomb
Honeycomb Design
legioncodeinc/honeycomb
A skill your agent uses to generate well-branded interfaces and assets for Honeycomb (shared AI agent memory, a Legion Code × Activeloop product), either for production or throwaway…
Honeycomb
legioncodeinc/honeycomb
Honeycomb persistent shared memory for the OpenClaw harness — auto-capture and recall across sessions via the local Honeycomb daemon.
Related
Works with
Questions about Honeycomb Memory
What does Honeycomb Memory do?
Use before starting non-trivial work that Honeycomb may already have prior context for (a past decision, a stated convention, where something lives), when a recalled memory should be cited and…. Honeycomb Memory is an agent skill from legioncodeinc/honeycomb. Use before starting non-trivial work that Honeycomb may already have prior context for (a past decision, a stated convention, where something lives), when a recalled memory should be cited and possibly zoomed into for detail, or after a decision, preference, durable fact, or gotcha emerges that is worth remembering for next time.
How do I install Honeycomb Memory in Claude Code?
Run `npx skills add legioncodeinc/honeycomb --skill honeycomb-memory -a claude-code`. Or copy the skill folder (harnesses/claude-code/skills/honeycomb-memory in legioncodeinc/honeycomb) into .claude/skills/honeycomb-memory in your project. Claude Code loads it when a task matches its description.
How do I install Honeycomb Memory in Codex?
Run `npx skills add legioncodeinc/honeycomb --skill honeycomb-memory -a codex`. Or copy the skill folder (harnesses/claude-code/skills/honeycomb-memory in legioncodeinc/honeycomb) into .agents/skills/honeycomb-memory in your project. Codex loads it when a task matches its description.
Can I use Honeycomb Memory 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 legioncodeinc/honeycomb --skill honeycomb-memory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/honeycomb-memory, .gemini/skills/honeycomb-memory, .github/skills/honeycomb-memory and .opencode/skills/honeycomb-memory in your project.
What does Honeycomb Memory need to run?
SKILL.md names no scripts, command-line tools or credentials: Honeycomb Memory is instructions for the agent only.
Does Honeycomb Memory 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 Honeycomb Memory safe to install?
Our automated static check of SKILL.md flagged 1 warning(s): contains instruction-override wording (e.g. “without asking the user”). Read the flagged lines before installing; the check is not a guarantee either way.
What licence does Honeycomb Memory use?
Honeycomb Memory is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Honeycomb Memory use?
About 982 tokens (SKILL.md is roughly 3.9k 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 Honeycomb Memory?
Skills that share tags, products or a category with Honeycomb Memory: NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars), Brand and Design Toolkit (nextlevelbuilder/ui-ux-pro-max-skill, 134k stars), AI Image Generation and Editing (zhayujie/CowAgent, 47k stars) and ModLens Image Vision Bridge (liustack/modlens, 4.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Honeycomb Memory?
legioncodeinc (a GitHub organization) maintains it in legioncodeinc/honeycomb, which has 115 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 4, 2026.
Source: legioncodeinc/honeycomb on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.