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Agent skill

Active Memory Reminder

by Archive228 in Archive228/loopkit

Before compaction Loopkit extracts decisions into claude-decisions.json (machine-readable).

MITAuto-check passed

Install Active Memory Reminder

skills CLI
$ npx skills add Archive228/loopkit --skill active-memory-reminder -a claude-code

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

GitHub CLI
$ gh skill install Archive228/loopkit active-memory-reminder --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/Archive228/loopkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/active-memory-reminder .claude/skills/active-memory-reminder && 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
active-memory-reminder
GitHub stars
756
Token cost
~1.2k tokens
SKILL.md length
526 words
Files
1
Skills in repo
43
Repo updated
First seen
Licence
MIT

At a glance

Before compaction Loopkit extracts decisions into claude-decisions.json (machine-readable).

  • SKILL.md covers When to apply, File contract, The hook and Anti-patterns, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Active Memory Reminder is an agent skill from Archive228/loopkit. Before compaction Loopkit extracts decisions into claude-decisions.json (machine-readable). Read it alongside claude-progress.txt at session start — prose is for humans, JSON is for the loop.

Its SKILL.md is about 1.2k 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: 33 battle-tested skills + minimal .claude harness for any coding agent (Claude Code, Cursor, Codex, Gemini CLI). The licence is MIT.

Example prompts

  • “/active-memory-reminder”

What it can do on your machine

Read from SKILL.md and the folder at commit 5ae033e. 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 (its code samples are json).

    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

Active Memory Reminder loads about 1.2k tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 526 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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 Archive228/loopkit at commit 5ae033e, republished under its MIT licence (© Archive228). 526 words, ~1,160 tokens.

Download SKILL.mdSave it as .claude/skills/active-memory-reminder/SKILL.md (or your agent's skills folder).
name
active-memory-reminder
description
Before compaction Loopkit extracts decisions into claude-decisions.json (machine-readable). Read it alongside claude-progress.txt at session start — prose is for humans, JSON is for the loop.
when_to_use
session start, after /clear, after compaction — before touching code; whenever a decision from a prior session is load-bearing for what you are about to do

Active Memory Reminder

Loopkit splits shift-notes across two files on purpose:

  • claude-progress.txt — free-form prose. Human-readable narrative of what the last session did, what is in flight, what to pick up next. Wins for context and intent. Loses when the model needs to decide whether a decision was made.
  • claude-decisions.json — machine-readable array of {ts, decision} entries, appended by the loopkit pre-compact hook every time the transcript is about to be compacted. Wins for durability of specific choices ("chose Postgres over SQLite because…", "rejected the polling approach", "tried htmx and switched to Alpine").

Compaction is where reasoning dies. The summarizer keeps the shape of the work but strips the why. claude-decisions.json is the durable side-channel that survives that. This is the same pattern Meta's NapMem paper calls out for behavioral-state-decay in long-running agents: prose degrades faster than structured facts because the model rewrites prose freely and edits structured data carefully (also why loopkit uses JSON for feature_list.json; see [[feature-list-json]]).

When to apply

  • Session start / post-/clear / post-compact. Read claude-decisions.json right after claude-progress.txt and before you look at code. If both files disagree, the JSON is the more recent hard record of a specific choice; the prose gives you the reason.
  • Before re-litigating a design choice. If you're about to propose "let's use X instead of Y," grep claude-decisions.json first. If a prior session already rejected X and wrote it down, don't burn the token budget re-deriving that.
  • When picking up mid-implementation work. Decisions frame constraints the progress file may not restate.

File contract

claude-decisions.json is a JSON array. Every entry is {ts, decision}:

json
[
  {"ts": "2026-07-14T18:22:09Z", "decision": "chose Playwright MCP over Puppeteer because Puppeteer's alert-modal blind spot bit us in run 41"},
  {"ts": "2026-07-14T20:04:11Z", "decision": "rejected the daemon-per-project approach; switched to a single supervisor with per-project subdirs"},
  {"ts": "2026-07-15T09:31:44Z", "decision": "tried and failed to cache the plan across sessions — plan went stale within two sessions, dropped"}
]

Constraints:

  • Append-only in normal operation. The pre-compact hook appends; sessions read.
  • You MAY add a decision by hand if you make one mid-session that the hook won't catch (e.g., a decision made in code, not prose). Use the same shape. Do not rewrite or delete existing entries — they are the durable record.
  • If entries contradict, newer wins, but note the contradiction in claude-progress.txt so the reason is captured.
Show full SKILL.md (198 more words)Show less

The hook

.claude/hooks/pre-compact runs on both manual (/compact) and auto compaction. It skims the transcript for phrases matching decided|chose|rejected|tried and failed|switched from .* to|going with|not going to, dedupes, caps at 20 per compaction, timestamps each, and appends. It is silent-safe: any failure logs to stderr and exits 0 so compaction is never blocked.

Anti-patterns

  • Reading claude-progress.txt and skipping claude-decisions.json. You will re-open settled questions. The prose file often omits why we didn't do the other thing — that's what the JSON is for.
  • Editing or deleting past decisions to "clean them up." Same rule as feature_list.json steps and descriptions: durable structured records are load-bearing. Contradict them in a new entry; don't erase the old one.
  • Storing prose in claude-decisions.json. It is not a second progress file. Entries are single decisions with a timestamp, nothing else.
  • Assuming the hook caught it. The regex catches most decisions but not all. If you made a decision the transcript won't obviously match, add it by hand before ending the session.
  • [[progress-reading-protocol]] — session-opening sequence; step 2b reads this file.
  • [[feature-list-json]] — the other structured-over-prose file loopkit relies on.
  • [[shift-notes]] — the prose companion this file is paired with.
  • [[clean-state-contract]] — session-end discipline that keeps the pairing usable.

© Archive228, 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 skills/active-memory-reminder of Archive228/loopkit.

Open the folder on GitHubat commit 5ae033e

Compare with similar skills

Active Memory Reminder 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.

Active Memory Reminder compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Active Memory Reminder this skillArchive228/loopkit756—~1.2kAutomated safety check: PassMIT
Strategic Compactaffaan-m/ECC275k1 repos~2.1kAutomated safety check: PassMIT
Extractalirezarezvani/claude-skills28k—~1.4kAutomated safety check: PassMIT
Brand Extractnexu-io/open-design100k—~3.1kAutomated safety check: PassApache-2.0
Design Extractnexu-io/open-design100k—~549Automated safety check: PassApache-2.0
Reminderssteipete/agent-scripts7.3k—~661Automated safety check: PassMIT

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Questions about Active Memory Reminder

What does Active Memory Reminder do?

Before compaction Loopkit extracts decisions into claude-decisions.json (machine-readable). Active Memory Reminder is an agent skill from Archive228/loopkit.json (machine-readable).

How do I install Active Memory Reminder in Claude Code?

Run `npx skills add Archive228/loopkit --skill active-memory-reminder -a claude-code`. Or copy the skill folder (skills/active-memory-reminder in Archive228/loopkit) into .claude/skills/active-memory-reminder in your project. Claude Code loads it when a task matches its description.

How do I install Active Memory Reminder in Codex?

Run `npx skills add Archive228/loopkit --skill active-memory-reminder -a codex`. Or copy the skill folder (skills/active-memory-reminder in Archive228/loopkit) into .agents/skills/active-memory-reminder in your project. Codex loads it when a task matches its description.

Can I use Active Memory Reminder 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 Archive228/loopkit --skill active-memory-reminder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/active-memory-reminder, .gemini/skills/active-memory-reminder, .github/skills/active-memory-reminder and .opencode/skills/active-memory-reminder in your project.

What does Active Memory Reminder need to run?

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

Does Active Memory Reminder 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 Active Memory Reminder 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 Active Memory Reminder use?

Active Memory Reminder 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 Active Memory Reminder use?

About 1.2k tokens (SKILL.md is roughly 4.6k 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 Active Memory Reminder?

Skills that share tags, products or a category with Active Memory Reminder: Strategic Compact (affaan-m/ECC, 275k stars), Extract (alirezarezvani/claude-skills, 28k stars), Brand Extract (nexu-io/open-design, 100k stars) and Design Extract (nexu-io/open-design, 100k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Active Memory Reminder?

Archive228 (a GitHub user) maintains it in Archive228/loopkit, which has 756 GitHub stars. The repository holds 43 skills in this directory. The repository was last updated on July 14, 2026.

Source: Archive228/loopkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.