Neo4j Agent Memory Skill
neo4j-contrib/neo4j-skills
Authoritative reference for the neo4j-agent-memory Python package — a graph-native memory system for AI agents built on Neo4j — and for the hosted service (NAMS) at memory.neo4jlabs.com.
Always-on guidance for solving tasks resourcefully. An agent skill from swarmclawai/swarmclaw.
$ npx skills add swarmclawai/swarmclaw --skill resourceful-problem-solving -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install swarmclawai/swarmclaw resourceful-problem-solving --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/swarmclawai/swarmclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/resourceful-problem-solving .claude/skills/resourceful-problem-solving && 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 "resourceful-problem-solving" agent skill from https://github.com/swarmclawai/swarmclaw/tree/main/skills/resourceful-problem-solving into .claude/skills/resourceful-problem-solving/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resourceful-problem-solving", 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/swarmclawai/swarmclaw/tree/main/skills/resourceful-problem-solvingType 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 swarmclawai/swarmclaw --skill resourceful-problem-solving -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install swarmclawai/swarmclaw resourceful-problem-solving --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/swarmclawai/swarmclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/resourceful-problem-solving .agents/skills/resourceful-problem-solving && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "resourceful-problem-solving" agent skill from https://github.com/swarmclawai/swarmclaw/tree/main/skills/resourceful-problem-solving into .agents/skills/resourceful-problem-solving/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resourceful-problem-solving", 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 swarmclawai/swarmclaw --skill resourceful-problem-solving -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install swarmclawai/swarmclaw resourceful-problem-solving --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/swarmclawai/swarmclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/resourceful-problem-solving .cursor/skills/resourceful-problem-solving && 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 "resourceful-problem-solving" agent skill from https://github.com/swarmclawai/swarmclaw/tree/main/skills/resourceful-problem-solving into .cursor/skills/resourceful-problem-solving/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resourceful-problem-solving", 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/swarmclawai/swarmclaw.git --path skills/resourceful-problem-solving--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 swarmclawai/swarmclaw --skill resourceful-problem-solving -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install swarmclawai/swarmclaw resourceful-problem-solving --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/swarmclawai/swarmclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/resourceful-problem-solving .gemini/skills/resourceful-problem-solving && 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 "resourceful-problem-solving" agent skill from https://github.com/swarmclawai/swarmclaw/tree/main/skills/resourceful-problem-solving into .gemini/skills/resourceful-problem-solving/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resourceful-problem-solving", 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 swarmclawai/swarmclaw resourceful-problem-solvingInstalls 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 swarmclawai/swarmclaw --skill resourceful-problem-solving -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/swarmclawai/swarmclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/resourceful-problem-solving .github/skills/resourceful-problem-solving && 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 "resourceful-problem-solving" agent skill from https://github.com/swarmclawai/swarmclaw/tree/main/skills/resourceful-problem-solving into .github/skills/resourceful-problem-solving/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resourceful-problem-solving", 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 swarmclawai/swarmclaw --skill resourceful-problem-solving -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install swarmclawai/swarmclaw resourceful-problem-solving --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/swarmclawai/swarmclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/resourceful-problem-solving .opencode/skills/resourceful-problem-solving && 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 "resourceful-problem-solving" agent skill from https://github.com/swarmclawai/swarmclaw/tree/main/skills/resourceful-problem-solving into .opencode/skills/resourceful-problem-solving/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resourceful-problem-solving", 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.
resourceful-problem-solvingAlways-on guidance for solving tasks resourcefully. An agent skill from swarmclawai/swarmclaw.
Resourceful Problem Solving is an agent skill from swarmclawai/swarmclaw. Always-on guidance for solving tasks resourcefully. Teaches agents to escalate through skills, CLI tools, and custom scripts instead of refusing. Applies to any request where the agent lacks a dedicated tool.
Its SKILL.md is about 460 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 Agent Workflows, covering Building AI agents. It works with Model Context Protocol and Python. The repository describes itself as: Open-source self-hosted AI agent runtime and multi-agent framework for autonomous agent swarms. Agent memory, MCP tools, schedules, delegation, and 23+ LLM providers (Claude… The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit ed38ba5. 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:
pipnpmbrewFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip and npm, 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.
Resourceful Problem Solving loads about 460 tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 205 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 swarmclawai/swarmclaw at commit ed38ba5, republished under its MIT licence (© swarmclawai). 205 words, ~460 tokens.
.claude/skills/resourceful-problem-solving/SKILL.md (or your agent's skills folder).When asked to do something and no dedicated tool exists, follow this escalation pattern:
Use use_skill to search for a matching skill. Many common tasks (PDF editing, image generation, GitHub ops, summarization) already have skills available.
If no skill matches, check whether a CLI tool exists:
which <tool> # already installed?
brew search <tool> # macOS
pip search <tool> # Python ecosystem
npm search <tool> # Node ecosystemIf a suitable tool exists, install it and use it.
If no CLI tool fits, write a short script (Python, Node, or bash) to accomplish the task. Common patterns:
reportlab or fpdf2Pillowopenpyxl or csvjq, csvkit, or a short Python scriptcurl + parsing or Python requests + beautifulsoup4Install dependencies as needed: pip install <package> or npm install <package>.
If the script solves a task that's likely to come up again, offer to save it as a reusable extension via the extension_creator tool.
© swarmclawai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/resourceful-problem-solving of swarmclawai/swarmclaw.
Open the folder on GitHubat commit ed38ba5
Resourceful Problem Solving 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 |
|---|---|---|---|---|---|---|
| Resourceful Problem Solving this skillswarmclawai/swarmclaw | 688 | — | ~460 | Automated safety check: Pass | MIT | |
| Neo4j Agent Memory Skillneo4j-contrib/neo4j-skills | 114 | — | ~5.8k | Automated safety check: Pass | MIT | |
| Agent Squad Python Guide2FastLabs/agent-squad | 7.8k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| Strandsstrands-agents/harness-sdk | 8.7k | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| Agent BuilderMathews-Tom/armory | 328 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Ydc Openai Agent SDK IntegrationLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.4k | Automated safety check: Notes | MIT |
neo4j-contrib/neo4j-skills
Authoritative reference for the neo4j-agent-memory Python package — a graph-native memory system for AI agents built on Neo4j — and for the hosted service (NAMS) at memory.neo4jlabs.com.
2FastLabs/agent-squad
Map of the agent-squad Python framework for async multi-agent orchestration: which agent, classifier, storage and tool provider to pick, and the pitfalls to avoid.
strands-agents/harness-sdk
Build, extend, evaluate, or migrate applications with Strands Agents in Python or TypeScript.
Mathews-Tom/armory
Build AI agents and automate Claude Code programmatically via the Claude Agent SDK and headless CLI mode.
LeoYeAI/openclaw-master-skills
Integrate OpenAI Agents SDK with You.com MCP server - Hosted and Streamable HTTP support for Python and TypeScript.
neopen/story-shot-agent
PenShot 项目开发 Skill。用于修改或审查 Agent、LangGraph 工作流、任务生命周期、记忆/RAG、配置、REST、MCP、CLI、测试和项目文档;先核实源码与工具配置,再按现有架构实施并验证。
swarmclawai/swarmclaw
Generate images via OpenAI Images API (GPT Image, DALL-E 3, DALL-E 2).
swarmclawai/swarmclaw
Create, edit, improve, or audit skills for SwarmClaw agents.
swarmclawai/swarmclaw
Generate or edit images via Gemini 3 Pro Image (Nano Banana Pro).
swarmclawai/swarmclaw
Delegate coding tasks to external coding agents (Claude Code, Codex, Pi, OpenCode) via shell.
swarmclawai/swarmclaw
GitHub operations via gh CLI: issues, PRs, CI runs, code review, API queries.
swarmclawai/swarmclaw
AI agent runtime and multi-agent orchestration platform. An agent skill from swarmclawai/swarmclaw.
Works with
Categories
Always-on guidance for solving tasks resourcefully. An agent skill from swarmclawai/swarmclaw. Resourceful Problem Solving is an agent skill from swarmclawai/swarmclaw. Always-on guidance for solving tasks resourcefully.
Resourceful Problem Solving fits situations like: tasks that involve Building AI agents.
Run `npx skills add swarmclawai/swarmclaw --skill resourceful-problem-solving -a claude-code`. Or copy the skill folder (skills/resourceful-problem-solving in swarmclawai/swarmclaw) into .claude/skills/resourceful-problem-solving in your project. Claude Code loads it when a task matches its description.
Run `npx skills add swarmclawai/swarmclaw --skill resourceful-problem-solving -a codex`. Or copy the skill folder (skills/resourceful-problem-solving in swarmclawai/swarmclaw) into .agents/skills/resourceful-problem-solving 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 swarmclawai/swarmclaw --skill resourceful-problem-solving -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/resourceful-problem-solving, .gemini/skills/resourceful-problem-solving, .github/skills/resourceful-problem-solving and .opencode/skills/resourceful-problem-solving in your project.
Going by SKILL.md and its folder, Resourceful Problem Solving needs the command-line tools its instructions call (pip, npm and brew). Our summary lists: Python 3; Node.js.
SKILL.md contains no URLs. Its commands use pip and npm, 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.
Resourceful Problem Solving is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 460 tokens (SKILL.md is roughly 1.8k 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 Resourceful Problem Solving: Neo4j Agent Memory Skill (neo4j-contrib/neo4j-skills, 114 stars), Agent Squad Python Guide (2FastLabs/agent-squad, 7.8k stars), Strands (strands-agents/harness-sdk, 8.7k stars) and Agent Builder (Mathews-Tom/armory, 328 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
swarmclawai (a GitHub organization) maintains it in swarmclawai/swarmclaw, which has 688 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on June 30, 2026.
Source: swarmclawai/swarmclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.