Agent skill

Memtrace Index

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

Index a source-code repo into the Memtrace knowledge graph and poll the job to completion.

Custom licenceAuto-check passedKnowledge Management

Install Memtrace Index

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

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

GitHub CLI
$ gh skill install syncable-dev/memtrace-public memtrace-index --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-index .claude/skills/memtrace-index && 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-index
GitHub stars
486
Token cost
~1.2k tokens
SKILL.md length
550 words
Files
1
Skills in repo
27
Repo updated
First seen
Licence
Custom licence

At a glance

Index a source-code repo into the Memtrace knowledge graph and poll the job to completion.

  • Works in 4 steps: Check if already indexed → Index the directory → Poll for completion → …
  • The user asks to index
  • SKILL.md covers Overview, Quick Reference, Steps and Error Handling, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Memtrace Index is an agent skill from syncable-dev/memtrace-public. Index a source-code repo into the Memtrace knowledge graph and poll the job to completion. Use when the user asks to index, parse, ingest, reindex, watch, or prepare a source-code repo for Memtrace analysis, when code exploration needs an index, or when searches return 0/partial results for source paths under an indexed root. Use this before Grep, Glob, rg, find, or manual code search whenever the repo can be indexed. For ongoing watch mode / live re-indexing after the initial index, use memtrace-continuous-memory.

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.

It sits in Knowledge Management, covering Knowledge graphs and Codebase onboarding. It works with Model Context Protocol. 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 to index
  • Prepare a source-code repo for Memtrace analysis
  • Code exploration needs an index
  • Searches return 0/partial results for source paths under an indexed root

Example prompts

  • “/memtrace-index”

Workflow steps

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

  1. Check if already indexed
  2. Index the directory
  3. Poll for completion
  4. Report to user

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 Index loads about 1.2k tokens when it runs. Until then it costs about 134 tokens; SKILL.md has 550 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~134
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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 550 words (~1,162 tokens).

“Index a local codebase into the persistent code knowledge graph. This is always the first step — it parses every source file, resolves cross-file relationships, detects API endpoints/calls, runs community detection and process tracing, and embeds all symbols for semantic…”

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

Read the full SKILL.md on GitHub

Files

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

Open the folder on GitHubat commit 3a3084d

Compare with similar skills

Memtrace Index 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 Index compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Memtrace Index this skillsyncable-dev/memtrace-public486—~1.2kAutomated safety check: PassCustom licence
Code Knowledge Graphvibeeval/vibecosystem531—~2.7kAutomated safety check: NotesMIT
Explore Codebase with Graphtirth8205/code-review-graph32k1 repos~335Automated safety check: PassMIT
Forgetful Repo EncodingScottRBK/forgetful301—~1kAutomated safety check: PassMIT
Compasscrabbuild/compass168—~5kAutomated safety check: PassCustom licence
Codebase Domain Flow ExtractorEgonex-AI/Understand-Anything85k1 repos~2.4kAutomated safety check: PassMIT

Similar skills

  • Code Knowledge Graph

    vibeeval/vibecosystem

    Codebase'i knowledge graph olarak analiz et. An agent skill from vibeeval/vibecosystem.

    531 GitHub stars~2.7k tokensUpdated 2 mo ago
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  • Explore Codebase with Graph

    tirth8205/code-review-graph

    Navigates a codebase through the code-review-graph MCP tools: architecture overview, symbol search, caller and callee tracing, flows and oversized functions.

    32k GitHub starsUsed in 1 repo~335 tokens
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  • Forgetful Repo Encoding

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    301 GitHub stars~1k tokensUpdated yesterday
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  • Compass

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    168 GitHub stars~5k tokensUpdated 4 days ago
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  • Codebase Domain Flow Extractor

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    Extracts business domains, flows and process steps from a codebase and produces an interactive horizontal flow graph, reusing an existing knowledge graph when one exists.

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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

Questions about Memtrace Index

What does Memtrace Index do?

Index a source-code repo into the Memtrace knowledge graph and poll the job to completion. Memtrace Index is an agent skill from syncable-dev/memtrace-public. Index a source-code repo into the Memtrace knowledge graph and poll the job to completion.

When should I use Memtrace Index?

Memtrace Index fits situations like: the user asks to index; prepare a source-code repo for Memtrace analysis; code exploration needs an index; searches return 0/partial results for source paths under an indexed root.

How do I install Memtrace Index in Claude Code?

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

How do I install Memtrace Index in Codex?

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

Can I use Memtrace Index 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-index -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-index, .gemini/skills/memtrace-index, .github/skills/memtrace-index and .opencode/skills/memtrace-index in your project.

What does Memtrace Index need to run?

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

Does Memtrace Index 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 Index 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 Index use?

Memtrace Index 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 Index 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 Memtrace Index?

Skills that share tags, products or a category with Memtrace Index: Code Knowledge Graph (vibeeval/vibecosystem, 531 stars), Explore Codebase with Graph (tirth8205/code-review-graph, 32k stars), Forgetful Repo Encoding (ScottRBK/forgetful, 301 stars) and Compass (crabbuild/compass, 168 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Memtrace Index?

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.