Agent skill

Memtrace Episode Replay

by syncable-dev in syncable-dev/memtrace-public

Replay the graph diff of one episode — a single git commit or working-tree save — to inspect what it changed: added/modified/removed symbols and edges.

Custom licenceAuto-check passedDevelopment

Install Memtrace Episode Replay

skills CLI
$ npx skills add syncable-dev/memtrace-public --skill memtrace-episode-replay -a claude-code

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

GitHub CLI
$ gh skill install syncable-dev/memtrace-public memtrace-episode-replay --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/syncable-dev/memtrace-public.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/memtrace-skills/skills/memtrace-episode-replay .claude/skills/memtrace-episode-replay && 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
memtrace-episode-replay
GitHub stars
486
Token cost
~973 tokens
SKILL.md length
285 words
Files
1
Skills in repo
27
Repo updated
First seen
Licence
Custom licence

At a glance

Replay the graph diff of one episode — a single git commit or working-tree save — to inspect what it changed: added/modified/removed symbols and edges.

  • Works in 3 steps: Find the episode to inspect → Call get_episode_replay → Interpret the response
  • The user asks what one commit
  • SKILL.md covers Overview, Episode selector — pick one, Optional filters (large commits) and Steps, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Memtrace Episode Replay is an agent skill from syncable-dev/memtrace-public. Replay the graph diff of one episode — a single git commit or working-tree save — to inspect what it changed: added/modified/removed symbols and edges. Use when the user asks what one commit or save changed in the graph, why code looks this way, or wants to inspect implementation attempts, reversions, past reasoning, or abandoned approaches across commits and working-tree episodes. Do not use git log or Grep for graph-level episode diffs; Memtrace replays indexed episode records. Do NOT use for module-level…

Its SKILL.md is about 970 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 Development, covering Commit messages. It works with Git. The repository describes itself as: Structural memory for AI coding agents. Bi-temporal graph, MCP-native, zero LLM calls. Cursor · Claude Code · Codex · DeepSeek Harness · Hermes · VS Code · Windsurf.

When your agent uses it

  • The user asks what one commit
  • Save changed in the graph
  • Why code looks this way
  • Wants to inspect implementation attempts

Example prompts

  • “/memtrace-episode-replay”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Find the episode to inspect
  2. Call get_episode_replay
  3. Interpret the response

What it can do on your machine

Read from SKILL.md and the folder at commit 3a3084d. 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

Memtrace Episode Replay loads about 973 tokens when it runs. Until then it costs about 150 tokens; SKILL.md has 285 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~150
When it runs · the whole SKILL.md, loaded when a task matches
~973

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 285 words (~973 tokens).

“Replay the graph diff for one episode (a single git commit or working-tree save). Shows which nodes/edges were added, modified, or removed in that episode — not a multi-episode time-range narrative.”

— opening of SKILL.md by syncable-dev, Custom licence
name
memtrace-episode-replay

Read the full SKILL.md on GitHub

Files

Just SKILL.md in plugins/memtrace-skills/skills/memtrace-episode-replay of syncable-dev/memtrace-public.

Open the folder on GitHubat commit 3a3084d

Compare with similar skills

Memtrace Episode Replay 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.

Memtrace Episode Replay compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Memtrace Episode Replay this skillsyncable-dev/memtrace-public486—~973Automated safety check: PassCustom licence
React Router Release Notes Prepremix-run/react-router57k—~1.1kAutomated safety check: PassMIT
ToolJet Multi-Repo CommitToolJet/ToolJet41k—~1.3kAutomated safety check: PassAGPL-3.0
Git Workflow and Versioningaddyosmani/agent-skills102k2 repos~3.5kAutomated safety check: NotesMIT
React Router Pull Request Creatorremix-run/react-router57k—~2.5kAutomated safety check: PassMIT
Verdaccio Pull Request Workflowverdaccio/verdaccio18k—~1.9kAutomated safety check: PassMIT

Similar skills

  • React Router Release Notes Prep

    remix-run/react-router

    Polishes pending React Router change files before the versioning scripts run, and decides whether a long-form What's Changed section is warranted.

    57k GitHub stars~1.1k tokensUpdated yesterday
    DevelopmentAuto-check passed
  • Commits changes across ToolJet's root repo and its server/ee and frontend/ee submodules, writing messages from the diffs and updating submodule pointers in order.

    41k GitHub stars~1.3k tokensUpdated today
    DevelopmentAuto-check passed
  • Git Workflow and Versioning

    addyosmani/agent-skills

    Sets git habits for every change: short-lived branches, atomic commits with descriptive messages, clean pull requests, plus versioning, tagging and changelogs for releases.

    102k GitHub starsUsed in 2 repos~3.5k tokens
    DevelopmentAuto-check: notes
  • React Router Pull Request Creator

    remix-run/react-router

    Packages finished React Router work into a draft pull request: branch, commit, push, a written PR body and the right GitHub labels.

    57k GitHub stars~2.5k tokensUpdated yesterday
    DevelopmentAuto-check passed
  • Takes a change through a verdaccio pull request: branch, local checks, changeset, title and body, labels, CI and review rounds, and ports to other release lines.

    18k GitHub stars~1.9k tokensUpdated yesterday
    DevelopmentAuto-check passed
  • Commits changes in the Saleor codebase and works through pre-commit hook failures from ruff, mypy, the GraphQL schema check and the migrations check.

    23k GitHub stars~575 tokensUpdated yesterday
    DevelopmentAuto-check passed

More from syncable-dev/memtrace-public

All 27 skills in this repo
  • Memtrace Change Impact Analysis

    syncable-dev/memtrace-public

    Compute what a planned source-code change will break — blast radius, affected processes, cross-repo callers, temporal stability, and Cortex decision-memory constraints — and produce a risk-rated…

    486 GitHub stars~1.4k tokensUpdated yesterday
    Auto-check passed
  • Memtrace Cochange

    syncable-dev/memtrace-public

    Find files that historically co-change with a target symbol or file, ranked by co-occurrence across git episodes.

    486 GitHub stars~961 tokensUpdated yesterday
    Auto-check passed
  • Memtrace Code Review

    syncable-dev/memtrace-public

    Review GitHub pull requests with Memtrace's local graph-backed review engine.

    486 GitHub stars~818 tokensUpdated yesterday
    Auto-check passed
  • Memtrace Codebase Exploration

    syncable-dev/memtrace-public

    Map an indexed source-code repo into a structured overview — scale, communities, central symbols, execution flows, API surface, recent activity.

    486 GitHub stars~1.3k tokensUpdated yesterday
    Auto-check passed
  • Memtrace Continuous Memory

    syncable-dev/memtrace-public

    Keep the Memtrace index fresh while editing by watching a repo for live, incremental re-indexing.

    486 GitHub stars~645 tokensUpdated yesterday
    Auto-check passed
  • Memtrace Decision Memory

    syncable-dev/memtrace-public

    Use Cortex decision memory through the normal Memtrace MCP tools.

    486 GitHub stars~1.9k tokensUpdated yesterday
    Auto-check passed

Works with

Categories

Questions about Memtrace Episode Replay

What does Memtrace Episode Replay do?

Replay the graph diff of one episode — a single git commit or working-tree save — to inspect what it changed: added/modified/removed symbols and edges. Memtrace Episode Replay is an agent skill from syncable-dev/memtrace-public. Replay the graph diff of one episode — a single git commit or working-tree save — to inspect what it changed: added/modified/removed symbols and edges.

When should I use Memtrace Episode Replay?

Memtrace Episode Replay fits situations like: the user asks what one commit; save changed in the graph; why code looks this way; wants to inspect implementation attempts.

How do I install Memtrace Episode Replay in Claude Code?

Run `npx skills add syncable-dev/memtrace-public --skill memtrace-episode-replay -a claude-code`. Or copy the skill folder (plugins/memtrace-skills/skills/memtrace-episode-replay in syncable-dev/memtrace-public) into .claude/skills/memtrace-episode-replay in your project. Claude Code loads it when a task matches its description.

How do I install Memtrace Episode Replay in Codex?

Run `npx skills add syncable-dev/memtrace-public --skill memtrace-episode-replay -a codex`. Or copy the skill folder (plugins/memtrace-skills/skills/memtrace-episode-replay in syncable-dev/memtrace-public) into .agents/skills/memtrace-episode-replay in your project. Codex loads it when a task matches its description.

Can I use Memtrace Episode Replay 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 syncable-dev/memtrace-public --skill memtrace-episode-replay -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memtrace-episode-replay, .gemini/skills/memtrace-episode-replay, .github/skills/memtrace-episode-replay and .opencode/skills/memtrace-episode-replay in your project.

What does Memtrace Episode Replay need to run?

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

Does Memtrace Episode Replay 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 Memtrace Episode Replay 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 Memtrace Episode Replay use?

Memtrace Episode Replay has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Memtrace Episode Replay use?

About 973 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 Memtrace Episode Replay?

Skills that share tags, products or a category with Memtrace Episode Replay: React Router Release Notes Prep (remix-run/react-router, 57k stars), ToolJet Multi-Repo Commit (ToolJet/ToolJet, 41k stars), Git Workflow and Versioning (addyosmani/agent-skills, 102k stars) and React Router Pull Request Creator (remix-run/react-router, 57k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Memtrace Episode Replay?

syncable-dev (a GitHub organization) maintains it in syncable-dev/memtrace-public, which has 486 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on October 6, 2026.

Source: syncable-dev/memtrace-public on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.