Agent skill

Alive Save

by alivecontext in alivecontext/alive

Checkpoint -- route stash items, write log entry, update bundle, trigger projection, reset stash

MITAuto-check passedProductivity & Automation

Install Alive Save

skills CLI
$ npx skills add alivecontext/alive --skill alive-save -a claude-code

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

GitHub CLI
$ gh skill install alivecontext/alive alive-save --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/alivecontext/alive.git skills-src && mkdir -p .claude/skills && cp -r skills-src/hermes/hermes-skills/alive-save .claude/skills/alive-save && 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
alive-save
GitHub stars
130
Token cost
~747 tokens
SKILL.md length
241 words
Files
1
Skills in repo
19
Repo updated
First seen
Licence
MIT

At a glance

Checkpoint -- route stash items, write log entry, update bundle, trigger projection, reset stash

  • Works in 3 steps: Ask: "Anything else before I save?" → Scan back through conversation for… → Present stash grouped by type
  • Productivity & Automation work in your project
  • SKILL.md covers Pre-Save, Write Log Entry, Update Active Bundle and Route Tasks, plus 5 more sections
  • Calls python3

What it does

Alive Save is an agent skill from alivecontext/alive. Checkpoint -- route stash items, write log entry, update bundle, trigger projection, reset stash

Its SKILL.md is about 750 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation. The repository describes itself as: Personal Context Manager for Claude Code. Your life in walnuts. The licence is MIT.

When your agent uses it

  • Productivity & Automation work in your project

Example prompts

  • “/alive-save”

Requirements

  • Python 3

Workflow steps

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

  1. Ask: "Anything else before I save?"
  2. Scan back through conversation for missed stash items
  3. Present stash grouped by type

What it can do on your machine

Read from SKILL.md and the folder at commit fc74320. 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:

    • python3

    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

Alive Save loads about 747 tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 241 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~27
When it runs · the whole SKILL.md, loaded when a task matches
~747

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 alivecontext/alive at commit fc74320, republished under its MIT licence (© alivecontext). 241 words, ~747 tokens.

Download SKILL.mdSave it as .claude/skills/alive-save/SKILL.md (or your agent's skills folder).
name
alive-save
description
Checkpoint -- route stash items, write log entry, update bundle, trigger projection, reset stash
version
1.0.0
author
ALIVE Context System
license
MIT
toolsets
terminal, file
triggers
save, checkpoint, let's save, stash is heavy

Save

Route the stash, write the log, update the bundle, trigger projection.

Pre-Save

  1. Ask: "Anything else before I save?"
  2. Scan back through conversation for missed stash items
  3. Present stash grouped by type:
Stash (N items):

Decisions:
  1. [decision] -> [walnut]
  2. [decision] -> [walnut]

Tasks:
  3. [task] -> [walnut]

Notes:
  4. [note] -> [walnut]
  5. [note] -> [[person]]

Confirm, edit, or drop items?

Write Log Entry

Prepend to _kernel/log.md after frontmatter. Use terminal:

bash
# Read existing log, prepend new entry after frontmatter

Entry format:

markdown
## YYYY-MM-DDTHH:MM:SS -- squirrel:[session_id]

**Type:** [feature/decision/research/strategy/etc]

[Narrative paragraph -- what happened, why, what it means]

### Decisions
- [decision with rationale]

### Artifacts
- [files created/modified]

signed: squirrel:[session_id]

Update Active Bundle

Write to the active bundle's context.manifest.yaml:

  • Update context: field with current state
  • Update status: if changed

Route Tasks

Confirmed task-shaped stash items are promoted in a single batch via alive tasks promote after the squirrel YAML stash is written. The CLI walks each type: task stash item, writes the task row, and stamps promotion_state / task_id markers back onto the squirrel file under a single flock for crash safety.

bash
"$ALIVE_PLUGIN_ROOT/bin/alive" tasks promote \
  --squirrel "[session_id]" \
  --walnut "[path]"

Python fallback if bin/alive is missing:

bash
"${ALIVE_PYTHON:-python3}" "$ALIVE_PLUGIN_ROOT/scripts/cli.py" tasks promote \
  --squirrel "[session_id]" --walnut "[path]"

For non-promotion edits on existing tasks (mark done, change priority), use tasks.py directly:

bash
python3 "$ALIVE_PLUGIN_ROOT/scripts/tasks.py" done --walnut "[path]" --id "[task_id]"

Never read or write tasks.json directly. Fail-loud if the CLI binary is missing on both paths — do not fall back to per-item adds from the agent.

Route People

Stash items tagged with [[person-name]] get dispatched to person walnuts as brief log entries.

Post-Save

The post-save hook triggers project.py to regenerate now.json. This is automatic.

Update _kernel/log.md frontmatter:

  • last-entry: timestamp
  • entry-count: increment
  • summary: one-line summary

Zero-Context Check

Ask: "If a new agent loaded this walnut with no context, would it have everything it needs?"

If no, fix the log entry or manifest before finishing.

Nudge Sharing

"Any bundles worth sharing?"

Reset

Stash clears. Session continues.

© alivecontext, 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 hermes/hermes-skills/alive-save of alivecontext/alive.

Open the folder on GitHubat commit fc74320

Compare with similar skills

Alive Save 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.

Alive Save compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Alive Save this skillalivecontext/alive130—~747Automated safety check: PassMIT
Agent Browserquran/quran.com-frontend-next1.9k42 repos~3.3kAutomated safety check: PassNone
Process Inboxtelegramdesktop/tdesktop33k2 repos~4.5kAutomated safety check: PassGPL-3.0
Perform Tasktelegramdesktop/tdesktop33k2 repos~3kAutomated safety check: PassGPL-3.0
Brave Searchbadlogic/pi-skills2.6k6 repos~592Automated safety check: PassMIT
Continuetelegramdesktop/tdesktop33k2 repos~9.4kAutomated safety check: PassGPL-3.0

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More from alivecontext/alive

All 19 skills in this repo
  • Alive Bundle

    alivecontext/alive

    Create, manage, and graduate bundles -- the unit of focused work within a walnut

    130 GitHub stars~510 tokensUpdated 6 days ago
    Auto-check passed
  • Alive Cleanup

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    System maintenance -- stale tasks, orphan folders, unsaved sessions, world health check

    130 GitHub stars~591 tokensUpdated 6 days ago
    Auto-check passed
  • Alive Create

    alivecontext/alive

    Scaffold a new walnut -- venture, experiment, person, life area, project

    130 GitHub stars~519 tokensUpdated 6 days ago
    Auto-check passed
  • Alive Daily

    alivecontext/alive

    Morning operating system -- sync inputs, read everything, surface priorities, show the day

    130 GitHub stars~473 tokensUpdated 6 days ago
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  • Alive History

    alivecontext/alive

    Search past sessions -- what happened, when, and why. An agent skill from alivecontext/alive.

    130 GitHub stars~492 tokensUpdated 6 days ago
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  • Alive Load

    alivecontext/alive

    Load an ALIVE walnut -- read kernel files, show current state, surface one observation, ask what to work on

    130 GitHub stars~509 tokensUpdated 6 days ago
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Questions about Alive Save

What does Alive Save do?

Checkpoint -- route stash items, write log entry, update bundle, trigger projection, reset stash. Alive Save is an agent skill from alivecontext/alive.

When should I use Alive Save?

Alive Save fits situations like: productivity & Automation work in your project.

How do I install Alive Save in Claude Code?

Run `npx skills add alivecontext/alive --skill alive-save -a claude-code`. Or copy the skill folder (hermes/hermes-skills/alive-save in alivecontext/alive) into .claude/skills/alive-save in your project. Claude Code loads it when a task matches its description.

How do I install Alive Save in Codex?

Run `npx skills add alivecontext/alive --skill alive-save -a codex`. Or copy the skill folder (hermes/hermes-skills/alive-save in alivecontext/alive) into .agents/skills/alive-save in your project. Codex loads it when a task matches its description.

Can I use Alive Save 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 alivecontext/alive --skill alive-save -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/alive-save, .gemini/skills/alive-save, .github/skills/alive-save and .opencode/skills/alive-save in your project.

What does Alive Save need to run?

Going by SKILL.md and its folder, Alive Save needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Alive Save 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 Alive Save 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 Alive Save use?

Alive Save is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Alive Save use?

About 747 tokens (SKILL.md is roughly 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 Alive Save?

Skills that share tags, products or a category with Alive Save: Agent Browser (quran/quran.com-frontend-next, 1.9k stars), Process Inbox (telegramdesktop/tdesktop, 33k stars), Perform Task (telegramdesktop/tdesktop, 33k stars) and Brave Search (badlogic/pi-skills, 2.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Alive Save?

alivecontext (a GitHub organization) maintains it in alivecontext/alive, which has 130 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on October 2, 2026.

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