Gitnexus Guide
aws-samples/sample-kolya-br-proxy
A skill your agent uses when the user asks about GitNexus itself — available tools, how to query the knowledge graph, MCP resources, graph schema, or workflow reference.
Write-side memory: stores decisions, patterns, and outcomes in the MCP memory knowledge graph as entities with typed observations and relations.
$ npx skills add yonatangross/orchestkit --skill remember -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install yonatangross/orchestkit remember --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/yonatangross/orchestkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/skills/remember .claude/skills/remember && 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 "remember" agent skill from https://github.com/yonatangross/orchestkit/tree/main/src/skills/remember into .claude/skills/remember/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remember", 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/yonatangross/orchestkit/tree/main/src/skills/rememberType 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 yonatangross/orchestkit --skill remember -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install yonatangross/orchestkit remember --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yonatangross/orchestkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src/skills/remember .agents/skills/remember && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "remember" agent skill from https://github.com/yonatangross/orchestkit/tree/main/src/skills/remember into .agents/skills/remember/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remember", 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 yonatangross/orchestkit --skill remember -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install yonatangross/orchestkit remember --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yonatangross/orchestkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src/skills/remember .cursor/skills/remember && 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 "remember" agent skill from https://github.com/yonatangross/orchestkit/tree/main/src/skills/remember into .cursor/skills/remember/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remember", 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/yonatangross/orchestkit.git --path src/skills/remember--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 yonatangross/orchestkit --skill remember -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install yonatangross/orchestkit remember --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yonatangross/orchestkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src/skills/remember .gemini/skills/remember && 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 "remember" agent skill from https://github.com/yonatangross/orchestkit/tree/main/src/skills/remember into .gemini/skills/remember/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remember", 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 yonatangross/orchestkit rememberInstalls 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 yonatangross/orchestkit --skill remember -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/yonatangross/orchestkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/src/skills/remember .github/skills/remember && 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 "remember" agent skill from https://github.com/yonatangross/orchestkit/tree/main/src/skills/remember into .github/skills/remember/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remember", 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 yonatangross/orchestkit --skill remember -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install yonatangross/orchestkit remember --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yonatangross/orchestkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src/skills/remember .opencode/skills/remember && 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 "remember" agent skill from https://github.com/yonatangross/orchestkit/tree/main/src/skills/remember into .opencode/skills/remember/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remember", 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.
rememberWrite-side memory: stores decisions, patterns, and outcomes in the MCP memory knowledge graph as entities with typed observations and relations.
Remember is an agent skill from yonatangross/orchestkit. Write-side memory: stores decisions, patterns, and outcomes in the MCP memory knowledge graph as entities with typed observations and relations. Use when something worth persisting across sessions was just learned or decided. To search or read existing memory, invoke memory; to debug retrieval internals, memory-fabric; to consolidate, dream.
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files (for example `references/category-detection.md`, `references/confirmation-templates.md` and `references/entity-extraction-workflow.md`). Compatibility notes: Claude Code 2.1.277+. Requires memory MCP server.
It sits in Knowledge Management, covering Knowledge graphs. It works with Model Context Protocol. The repository describes itself as: The Complete AI Development Toolkit for Claude Code. 106 skills, 36 agents, 171 hooks. Install ork for stable (v9.x), or ork-alpha for the v10 line, which ships daily. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 1f8d8f3. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadGrepGlobBashAskUserQuestionmcp__memory__create_entitiesmcp__memory__create_relationsmcp__memory__add_observationsmcp__memory__search_nodesFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Claude Code 2.1.277+. Requires memory MCP server.
From compatibility in the SKILL.md frontmatter.
Remember loads about 2.5k tokens when it runs, and up to ~4.7k if it reads all its reference files. Until then it costs about 88 tokens; SKILL.md has 754 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Grep, Glob, Bash, AskUserQuestion, mcp__memory__create_entities, mcp__memory__create_relationsAutomated 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.
The full file from yonatangross/orchestkit at commit 1f8d8f3, republished under its MIT licence (© yonatangross). 754 words, ~2,478 tokens.
.claude/skills/remember/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.Filesystem vs MCP memory (Opus 5.5 guidance, CC 2.1.111+): Opus 5.5 reads filesystem memory reliably across multi-session work. Use that to your advantage:
- Short-lived handoff state (current phase, task in-progress, pending approvals) →
.claude/chain/*.jsonfiles. Small, structured, session-scoped.- Durable auto-memory (user facts, feedback, project conventions) →
~/.claude/projects/<slug>/memory/*.mdfiles with a one-line index inMEMORY.md. Read on every session start.- Cross-session knowledge graph (typed entities + relations for query traversal) → MCP memory server (this skill's default path). Best when future sessions will search for patterns.
The three are complementary, not alternatives. Prefer fs for anything you'd want to grep; prefer MCP for anything you'd want to traverse.
Store important decisions, patterns, or context in the knowledge graph for future sessions. Supports tracking success/failure outcomes for building a Best Practice Library.
TEXT = "$ARGUMENTS" # Full argument string, e.g., "We use cursor pagination"
FLAG = "$ARGUMENTS[0]" # First token — check for --success, --failed, --category, --agent
# Parse flags from $ARGUMENTS[0], $ARGUMENTS[1] etc. (CC 2.1.59 indexed access)
# Remaining tokens after flags = the text to rememberThe remember skill uses knowledge graph as storage:
mcp__memory__create_entities and mcp__memory__create_relations - FREE, zero-config, always worksBenefits:
Automatic Entity Extraction:
remember <text>
remember --category <category> <text>
remember --success <text> # Mark as successful pattern
remember --failed <text> # Mark as anti-pattern
remember --success --category <category> <text>
# Agent-scoped memory
remember --agent <agent-id> <text> # Store in agent-specific scope
remember --global <text> # Store as cross-project best practice| Flag | Behavior |
|---|---|
| (default) | Write to graph |
--success | Mark as successful pattern |
--failed | Mark as anti-pattern |
--category <cat> | Set category |
--agent <agent-id> | Scope memory to a specific agent |
--global | Store as cross-project best practice |
decision - Why we chose X over Y (default)architecture - System design and patternspattern - Code conventions and standardsblocker - Known issues and workaroundsconstraint - Limitations and requirementspreference - User/team preferencespagination - Pagination strategiesdatabase - Database patternsauthentication - Auth approachesapi - API design patternsfrontend - Frontend patternsperformance - Performance optimizations--success - Pattern that worked well (positive outcome)--failed - Pattern that caused problems (anti-pattern)If neither flag is provided, the memory is stored as neutral (informational).
Check for --success flag → outcome: success
Check for --failed flag → outcome: failed
Check for --category <category> flag
Check for --agent <agent-id> flag → agent_id: "ork:{agent-id}"
Check for --global flag → use global user_id
Extract the text to remember
If no category specified, auto-detect from content| Keywords | Category |
|---|---|
| chose, decided, selected | decision |
| architecture, design, system | architecture |
| pattern, convention, style | pattern |
| blocked, issue, bug, workaround | blocker |
| must, cannot, required, constraint | constraint |
| pagination, cursor, offset, page | pagination |
| database, sql, postgres, query | database |
| auth, jwt, oauth, token, session | authentication |
| api, endpoint, rest, graphql | api |
| react, component, frontend, ui | frontend |
| performance, slow, fast, cache | performance |
If outcome is "failed", look for:
Extract entities (Technology, Agent, Pattern, Project, AntiPattern) from the text, detect relationship patterns ("X uses Y", "chose X over Y", etc.), then create entities and relations in the knowledge graph.
Auto-classification is best-effort. Before writing, ask the user to confirm both the memory type and the persistence scope. Pre-select the auto-detected type as the default option when the classifier is confident (≥0.9):
# Skip when the invocation already specifies type and scope:
# remember --type=preference --global → skip, use those values
# remember --session → skip, no persistence
#
# Otherwise, ask both:
AskUserQuestion(questions=[
{"question": "What type of memory?",
"header": "Type",
"options": [
{"label": "Preference", "description": "How I like to work (style, format, tooling)"},
{"label": "Project fact", "description": "State of THIS codebase (decisions, constraints)"},
{"label": "Reference", "description": "External system pointer (URL, doc, dashboard)"},
{"label": "Feedback", "description": "Correction to future behavior — applied as a rule"}
]},
{"question": "Apply to?",
"header": "Scope",
"options": [
{"label": "This project (default)", "description": "Scoped to .claude/projects/<this-project>/memory/"},
{"label": "All projects (global)", "description": "User-level memory at ~/.claude/memory/"},
{"label": "This session only", "description": "Print to context but don't persist"}
]}
])Default selection rules:
Global memory writes route to ~/.claude/memory/<filename>.md instead of the project-local memory directory. The MEMORY.md index is updated in whichever scope was selected (project- or user-level).
Load entity extraction rules, type assignment, relationship patterns, and graph creation examples: Read("references/graph-operations.md")
Display confirmation using the appropriate template (success, anti-pattern, or neutral) showing created entities, relations, and graph stats.
Load output templates and examples: Read("references/confirmation-templates.md")
When updating .claude/memory/MEMORY.md or project memory files:
## Recent Decisions, ## Patterns, ## Preferencesmemory skill's "Permission-Free File Operations" section for the full Edit patternLoad on demand with Read("references/<file>"):
| File | Content |
|---|---|
category-detection.md | Auto-detection rules for categorizing memories (priority order) |
graph-operations.md | Entity extraction, type assignment, relationship patterns, graph creation |
confirmation-templates.md | Output templates (success, anti-pattern, neutral) and usage examples |
ork:memory - Search, load, sync, visualize (read-side operations)© yonatangross, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 10 other files (references) in src/skills/remember of yonatangross/orchestkit.
Open the folder on GitHubat commit 1f8d8f3
Remember 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 |
|---|---|---|---|---|---|---|
| Remember this skillyonatangross/orchestkit | 288 | — | ~2.5k | Automated safety check: Notes | MIT | |
| Gitnexus Guideaws-samples/sample-kolya-br-proxy | 106 | 10 repos | ~867 | Automated safety check: Pass | MIT-0 | |
| Sage Wikixoai/sage-wiki | 620 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Remnic Entitiesjoshuaswarren/remnic | 215 | — | ~612 | Automated safety check: Pass | MIT | |
| Knowledge Layerstudy8677/repobrain | 1.3k | — | ~324 | Automated safety check: Pass | MIT | |
| Memex Best Practicesiamtouchskyer/memex | 142 | — | ~2.9k | Automated safety check: Pass | MIT |
aws-samples/sample-kolya-br-proxy
A skill your agent uses when the user asks about GitNexus itself — available tools, how to query the knowledge graph, MCP resources, graph schema, or workflow reference.
xoai/sage-wiki
Reference skill for sage-wiki — local-first knowledge graph with MCP server, REST API, compiled wiki, and Obsidian-compatible output.
joshuaswarren/remnic
Browse entities in the Remnic knowledge graph and surface their facts and relationships.
study8677/repobrain
High-level deployment wrapper over RepoBrain core with graph-first knowledge injection and all-file support.
iamtouchskyer/memex
Zettelkasten best practices for building a high-quality knowledge graph.
agenticnotetaking/arscontexta
Query the bundled research knowledge graph for methodology guidance.
yonatangross/orchestkit
API contract design for REST and GraphQL, covering resource shape, URL and header versioning with deprecation windows, RFC 9457 Problem Details error handling, and OpenAPI specs.
yonatangross/orchestkit
ADR templates in the Nygard format with context, decision, consequences, and alternatives.
yonatangross/orchestkit
Single-pass codebase analysis leveraging a 1M-token context window for comprehensive security scanning, architecture review, and dependency auditing.
yonatangross/orchestkit
Structured review processes, conventional comments, language-specific checklists, and feedback templates.
yonatangross/orchestkit
Creates GitHub pull requests with pre-flight validation, conventional title formatting, and structured summary generation.
yonatangross/orchestkit
Multi-angle codebase exploration spawning 3-5 parallel agents for code structure, data flow, architecture patterns, and health assessment.
Works with
Categories
Write-side memory: stores decisions, patterns, and outcomes in the MCP memory knowledge graph as entities with typed observations and relations. Remember is an agent skill from yonatangross/orchestkit. Write-side memory: stores decisions, patterns, and outcomes in the MCP memory knowledge graph as entities with typed observations and relations.
Remember fits situations like: something worth persisting across sessions was just learned; tasks that involve Knowledge graphs.
Run `npx skills add yonatangross/orchestkit --skill remember -a claude-code`. Or copy the skill folder (src/skills/remember in yonatangross/orchestkit) into .claude/skills/remember in your project. Claude Code loads it when a task matches its description.
Run `npx skills add yonatangross/orchestkit --skill remember -a codex`. Or copy the skill folder (src/skills/remember in yonatangross/orchestkit) into .agents/skills/remember in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add yonatangross/orchestkit --skill remember -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/remember, .gemini/skills/remember, .github/skills/remember and .opencode/skills/remember in your project.
SKILL.md names no scripts, command-line tools or credentials: Remember is instructions for the agent only. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Grep, Glob, Bash, AskUserQuestion, mcp__memory__create_entities, mcp__memory__create_relations, mcp__memory__add_observations, mcp__memory__search_nodes. Compatibility (from SKILL.md): Claude Code 2.1.277+. Requires memory MCP server..
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.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Remember is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.5k tokens (SKILL.md is roughly 9.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Remember: Gitnexus Guide (aws-samples/sample-kolya-br-proxy, 106 stars), Sage Wiki (xoai/sage-wiki, 620 stars), Remnic Entities (joshuaswarren/remnic, 215 stars) and Knowledge Layer (study8677/repobrain, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
yonatangross (a GitHub user) maintains it in yonatangross/orchestkit, which has 288 GitHub stars. The repository holds 107 skills in this directory. The repository was last updated on October 6, 2026.
Source: yonatangross/orchestkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.