Using LWC Memory and Graphs
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
Manage durable working-session memory for coding agents. An agent skill from NVIDIA/skills.
$ npx skills add NVIDIA/skills --skill nemo-rl-session-memory -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills nemo-rl-session-memory --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/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/nemo-rl-session-memory .claude/skills/nemo-rl-session-memory && 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 "nemo-rl-session-memory" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemo-rl-session-memory into .claude/skills/nemo-rl-session-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemo-rl-session-memory", 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/NVIDIA/skills/tree/main/skills/nemo-rl-session-memoryType 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 NVIDIA/skills --skill nemo-rl-session-memory -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills nemo-rl-session-memory --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/nemo-rl-session-memory .agents/skills/nemo-rl-session-memory && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nemo-rl-session-memory" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemo-rl-session-memory into .agents/skills/nemo-rl-session-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemo-rl-session-memory", 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 NVIDIA/skills --skill nemo-rl-session-memory -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills nemo-rl-session-memory --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/nemo-rl-session-memory .cursor/skills/nemo-rl-session-memory && 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 "nemo-rl-session-memory" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemo-rl-session-memory into .cursor/skills/nemo-rl-session-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemo-rl-session-memory", 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/NVIDIA/skills.git --path skills/nemo-rl-session-memory--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 NVIDIA/skills --skill nemo-rl-session-memory -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills nemo-rl-session-memory --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/nemo-rl-session-memory .gemini/skills/nemo-rl-session-memory && 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 "nemo-rl-session-memory" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemo-rl-session-memory into .gemini/skills/nemo-rl-session-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemo-rl-session-memory", 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 NVIDIA/skills nemo-rl-session-memoryInstalls 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 NVIDIA/skills --skill nemo-rl-session-memory -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/nemo-rl-session-memory .github/skills/nemo-rl-session-memory && 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 "nemo-rl-session-memory" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemo-rl-session-memory into .github/skills/nemo-rl-session-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemo-rl-session-memory", 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 NVIDIA/skills --skill nemo-rl-session-memory -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NVIDIA/skills nemo-rl-session-memory --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/nemo-rl-session-memory .opencode/skills/nemo-rl-session-memory && 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 "nemo-rl-session-memory" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/nemo-rl-session-memory into .opencode/skills/nemo-rl-session-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemo-rl-session-memory", 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.
nemo-rl-session-memoryManage durable working-session memory for coding agents. An agent skill from NVIDIA/skills.
Nemo Rl Session Memory is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Manage durable working-session memory for coding agents. Use when a user asks to preserve or recover agent context across disconnects, VS Code restarts, long-running work, handoffs, or any session where important state should be written periodically under the repo's session directory. Do NOT use for: simple questions, short tasks, one-off commands, linting, or code review.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `BENCHMARK.md`, `evals/evals.json` and `skill-card.md`).
It sits in Agent Workflows, covering Agent memory, Session handoff and Linting and formatting. It works with Visual Studio Code. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 0e0d506. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
gitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
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.
Nemo Rl Session Memory loads about 1.4k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 465 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 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.
The full file from NVIDIA/skills at commit 0e0d506, republished under its Apache-2.0 licence (© NVIDIA). 465 words, ~1,363 tokens.
.claude/skills/nemo-rl-session-memory/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Keep a durable, human-readable record of the current working session so another agent can resume after a disconnect with minimal context loss.
Use this skill when:
./session/ directories.Create one directory per working session:
mkdir -p session
date +%Y%m%d_%H%M%S
mkdir -p session/<session_date_time>Use local time from the machine. Reuse the same session directory for all checkpoints in the same conversation unless the user explicitly starts a new session.
Expected files:
session_state.md - overall goal, current subtask, loaded skills, status, plan, assumptions, blockers, and next actions.timeline.md - append-only log of major actions, commands, results, and decisions.files.md - files inspected, files changed, and why they matter.handoff.md - concise resume instructions for the next agent.Add other files only when useful, such as experiments.tsv, review_notes.md, or copied command logs.
At the start of a session:
ls -dt session/* 2>/dev/null | headsession_state.md, timeline.md, and handoff.md.session_state.md with the user's overall goal, current subtask, loaded skills, repo path, branch, and known constraints.Do not treat session notes as the only source of truth. Verify important claims against git state, files, and command output before acting.
Write a checkpoint:
Prefer updating the same files rather than creating many small checkpoint files. Keep the record compact and scannable.
session_state.md# Session State
- Session: <session_date_time>
- Repo: <absolute repo path>
- Branch: <branch name>
- Started: <local timestamp>
- Updated: <local timestamp>
## Goal
<Stable overall user goal in one or two sentences. Preserve this across follow-up steering unless the user explicitly changes it.>
## Current Subtask
<Immediate task or steering request currently being handled.>
## Loaded Skills
- `<skill-name>` - <why it was loaded and any important instructions to preserve.>
## Current Status
<What is true now. Include completed work and verification status.>
## Plan
- [ ] <Next concrete step>
- [ ] <Next concrete step>
## Assumptions
- <Assumption and how to verify it if needed.>
## Blockers
- <Blocker or "None known".>timeline.md# Timeline
## <local timestamp>
- User asked: <brief request>
- Context gathered: <files/commands and key result>
- Decision: <important choice and rationale>
- Result: <edits/tests/outcome>files.md# Files
## Inspected
- `<path>` - <why it mattered>
## Changed
- `<path>` - <what changed and why>
## Generated
- `<path>` - <purpose>handoff.md# Handoff
## Resume From Here
<One paragraph summary of the current state.>
## Next Actions
- <Most important next action>
- <Verification or cleanup still needed>
## Watch Outs
- <Risks, user preferences, or repo constraints the next agent must preserve.>When resuming after a disconnect:
handoff.md first, then session_state.md, then recent timeline.md.git status --short, git branch --show-current, and targeted file reads.handoff.md.© NVIDIA, Apache-2.0. 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 4 other files in skills/nemo-rl-session-memory of NVIDIA/skills.
Open the folder on GitHubat commit 0e0d506
Nemo Rl Session Memory 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 |
|---|---|---|---|---|---|---|
| Nemo Rl Session Memory this skillNVIDIA/skills | 3.5k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Using LWC Memory and Graphssickn33/agentic-awesome-skills | 47k | 1 repos | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Harness Engineering10xChengTu/harness-engineering | 102 | 1 repos | ~1k | Automated safety check: Pass | None | |
| Beads Task Memorygastownhall/beads | 28k | — | ~1.2k | Automated safety check: Pass | MIT | |
| CodemapJordanCoin/codemap | 704 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Agnixagent-sh/agnix | 444 | — | ~874 | Automated safety check: Pass | Apache-2.0 |
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
10xChengTu/harness-engineering
Set up and improve harness engineering (AGENTS.md, docs/, lint rules, eval systems, project-level prompt engineering) for AI-agent-friendly codebases.
gastownhall/beads
Tracks multi-session work with dependencies in the bd issue tracker so the agent can find ready tasks and recover its context after conversation compaction.
JordanCoin/codemap
Gives an agent a quick map of a codebase's structure, dependencies, changes and handoffs, and tunes per-project config so the output stays code-first.
agent-sh/agnix
A skill your agent uses when user asks to 'lint agent configs', 'validate skills', 'check CLAUDE.md', 'validate hooks', 'lint MCP'.
agent-sh/agnix
A skill your agent uses when user asks to 'lint agent configs', 'validate skills', 'check CLAUDE.md', 'validate hooks', 'lint MCP'.
NVIDIA/skills
A skill your agent uses when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice.
NVIDIA/skills
Generates, validates, compares and explains HOLOLINK_def.svh macro files for the HSB IP, using bundled Python scripts and asking before it writes anything.
NVIDIA/skills
Runs and validates an end-to-end Mission Control demo in a locally installed Isaac Sim, with a Nova Carter robot driven through a Python server.
NVIDIA/skills
Orchestrates defect image generation for PCBA, metal surface and glass inspection with NVIDIA Cosmos AnomalyGen on OSMO, from cold-start Day 0 to real-photo Day 1 labeling.
NVIDIA/skills
Orchestrates video data augmentation and auto-labeling workflows on OSMO, from flow selection and preflight checks to submission, monitoring and output download.
NVIDIA/skills
Runs NVIDIA TAO Data Services KPI analysis on object detection results, comparing predictions to ground truth and writing per-class precision, recall and AP to a CSV.
Works with
Categories
Manage durable working-session memory for coding agents. An agent skill from NVIDIA/skills. Nemo Rl Session Memory is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Manage durable working-session memory for coding agents.
Nemo Rl Session Memory fits situations like: A user asks to preserve; recover agent context across disconnects; VS Code restarts; long-running work.
Run `npx skills add NVIDIA/skills --skill nemo-rl-session-memory -a claude-code`. Or copy the skill folder (skills/nemo-rl-session-memory in NVIDIA/skills) into .claude/skills/nemo-rl-session-memory in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill nemo-rl-session-memory -a codex`. Or copy the skill folder (skills/nemo-rl-session-memory in NVIDIA/skills) into .agents/skills/nemo-rl-session-memory 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 NVIDIA/skills --skill nemo-rl-session-memory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nemo-rl-session-memory, .gemini/skills/nemo-rl-session-memory, .github/skills/nemo-rl-session-memory and .opencode/skills/nemo-rl-session-memory in your project.
Going by SKILL.md and its folder, Nemo Rl Session Memory needs the command-line tools its instructions call (git).
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Nemo Rl Session Memory is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Nemo Rl Session Memory: Using LWC Memory and Graphs (sickn33/agentic-awesome-skills, 47k stars), Harness Engineering (10xChengTu/harness-engineering, 102 stars), Beads Task Memory (gastownhall/beads, 28k stars) and Codemap (JordanCoin/codemap, 704 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,534 GitHub stars. The repository holds 380 skills in this directory. The repository was last updated on October 7, 2026.
Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.