Instance Awareness
n8n-io/n8n
Load when the request depends on what is already on this instance rather than on what the user just typed: a short or ambiguous opener ("fix it", "carry on", "what should I look at"), a reference to…
Read whenever part of a program must run as several separate copies, each under its own id, even with ONE user: a session per chat, a sandbox per job, a workspace per document, a bot per customer.
$ npx skills add WeaveMindAI/weft --skill weft-instances -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install WeaveMindAI/weft weft-instances --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/WeaveMindAI/weft.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-instances .claude/skills/weft-instances && 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 "weft-instances" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-instances into .claude/skills/weft-instances/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-instances", 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/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-instancesType 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 WeaveMindAI/weft --skill weft-instances -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install WeaveMindAI/weft weft-instances --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WeaveMindAI/weft.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-instances .agents/skills/weft-instances && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "weft-instances" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-instances into .agents/skills/weft-instances/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-instances", 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 WeaveMindAI/weft --skill weft-instances -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install WeaveMindAI/weft weft-instances --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WeaveMindAI/weft.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-instances .cursor/skills/weft-instances && 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 "weft-instances" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-instances into .cursor/skills/weft-instances/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-instances", 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/WeaveMindAI/weft.git --path tangle/cline/.cline/skills/weft-instances--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 WeaveMindAI/weft --skill weft-instances -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install WeaveMindAI/weft weft-instances --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WeaveMindAI/weft.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-instances .gemini/skills/weft-instances && 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 "weft-instances" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-instances into .gemini/skills/weft-instances/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-instances", 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 WeaveMindAI/weft weft-instancesInstalls 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 WeaveMindAI/weft --skill weft-instances -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/WeaveMindAI/weft.git skills-src && mkdir -p .github/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-instances .github/skills/weft-instances && 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 "weft-instances" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-instances into .github/skills/weft-instances/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-instances", 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 WeaveMindAI/weft --skill weft-instances -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install WeaveMindAI/weft weft-instances --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WeaveMindAI/weft.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tangle/cline/.cline/skills/weft-instances .opencode/skills/weft-instances && 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 "weft-instances" agent skill from https://github.com/WeaveMindAI/weft/tree/main/tangle/cline/.cline/skills/weft-instances into .opencode/skills/weft-instances/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weft-instances", 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.
weft-instancesRead whenever part of a program must run as several separate copies, each under its own id, even with ONE user: a session per chat, a sandbox per job, a workspace per document, a bot per customer.
Weft Instances is an agent skill from WeaveMindAI/weft. Read whenever part of a program must run as several separate copies, each under its own id, even with ONE user: a session per chat, a sandbox per job, a workspace per document, a bot per customer. @perinstance (a container each), @instancefilled (a value each, a connection included), which instance a run is for, the route shape that works (shared routes, the instance picked per call), instance tokens, costs, starting and stopping one instance's containers, and giving every instance an end. When the copies belong…
Its SKILL.md is about 4.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: A programming language for AI orchestrations.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 6e28f31. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are weft).
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.
Weft Instances loads about 4.8k tokens when it runs. Until then it costs about 146 tokens; SKILL.md has 2,704 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 2,704 words (~4,824 tokens).
“An [instance] is one separate running copy of part of a program, under an id the program picks (session-7f3a, user-42). You reach for instances whenever the program needs several isolated copies of something, whoever uses them: one sandbox per job…”
Just SKILL.md in tangle/cline/.cline/skills/weft-instances of WeaveMindAI/weft.
Open the folder on GitHubat commit 6e28f31
Weft Instances 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 |
|---|---|---|---|---|---|---|
| Weft Instances this skillWeaveMindAI/weft | 2k | — | ~4.8k | Automated safety check: Pass | Custom licence | |
| Instance Awarenessn8n-io/n8n | 207k | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| Relsa Severity AssessmentK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~5.2k | Automated safety check: Notes | MIT | |
| Step Partsearthtojake/text-to-cad | 18k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Strict Programming Practicescode-yeongyu/oh-my-openagent | 70k | — | ~9.5k | Automated safety check: Pass | Custom licence | |
| Referral Programalirezarezvani/claude-skills | 28k | — | ~3.4k | Automated safety check: Pass | MIT |
n8n-io/n8n
Load when the request depends on what is already on this instance rather than on what the user just typed: a short or ambiguous opener ("fix it", "carry on", "what should I look at"), a reference to…
K-Dense-AI/scientific-agent-skills
Supports multivariate severity assessment and exploratory endpoint-time score forecasting for laboratory animal studies using the RELSA (RELative Severity Assessment) score and ARIMA-based foRcast…
earthtojake/text-to-cad
Find, evaluate, and download common purchasable CAD parts from step.parts, including named off-the-shelf actuators, servos, motors, electronics boards, connectors, screws, bolts, nuts, washers…
code-yeongyu/oh-my-openagent
Applies strict, type-first coding rules for Python, Rust, TypeScript and Go, loading the matching language reference before the agent writes or edits any code.
alirezarezvani/claude-skills
When the user wants to design, launch, or optimize a referral or affiliate program.
sickn33/agentic-awesome-skills
Select, verify, and safely switch n8n MCP instances across production, staging, teams, or clients, especially before credential writes.
WeaveMindAI/weft
Read when the user wants weft itself on their Google Cloud for the first time, or to upgrade or resize the weft already there: getting the user's GitHub and Google Cloud accounts and CLIs ready, the…
WeaveMindAI/weft
Read when the user wants their own website, app, bot or extension to list, show, answer, skip or cancel what a program is waiting on, fetch a file it carries, or show what one of its nodes is…
WeaveMindAI/weft
Read when the user wants weft or a program live for real people on their cloud, asks about prod, a target, --on, a domain or GCP, or a deploy failed: targets and logging in, domains, the deploy…
WeaveMindAI/weft
Read when the user asks what a run costs, or when a node is wired to a paid API weft does not already price: the three pieces of a custom paid service, a meter to copy, and the rules that keep a…
WeaveMindAI/weft
Read when growing a program stage by stage: carving a run, supplying starting values, baking a trigger and firing it without activating, reusing completed work with a seed, freezing an accepted…
WeaveMindAI/weft
Read when the user wants a page, app or site for the program, and before dispatching the frontend-builder: the verified scaffold commands, the default stack (pnpm, SvelteKit, PostgreSQL, BetterAuth…
Read whenever part of a program must run as several separate copies, each under its own id, even with ONE user: a session per chat, a sandbox per job, a workspace per document, a bot per customer. Weft Instances is an agent skill from WeaveMindAI/weft. Read whenever part of a program must run as several separate copies, each under its own id, even with ONE user: a session per chat, a sandbox per job, a workspace per document, a bot per customer.
Run `npx skills add WeaveMindAI/weft --skill weft-instances -a claude-code`. Or copy the skill folder (tangle/cline/.cline/skills/weft-instances in WeaveMindAI/weft) into .claude/skills/weft-instances in your project. Claude Code loads it when a task matches its description.
Run `npx skills add WeaveMindAI/weft --skill weft-instances -a codex`. Or copy the skill folder (tangle/cline/.cline/skills/weft-instances in WeaveMindAI/weft) into .agents/skills/weft-instances 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 WeaveMindAI/weft --skill weft-instances -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/weft-instances, .gemini/skills/weft-instances, .github/skills/weft-instances and .opencode/skills/weft-instances in your project.
SKILL.md names no scripts, command-line tools or credentials: Weft Instances is instructions for the agent only.
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 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.
Weft Instances has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 4.8k tokens (SKILL.md is roughly 19k 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 Weft Instances: Instance Awareness (n8n-io/n8n, 207k stars), Relsa Severity Assessment (K-Dense-AI/scientific-agent-skills, 48k stars), Step Parts (earthtojake/text-to-cad, 18k stars) and Strict Programming Practices (code-yeongyu/oh-my-openagent, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
WeaveMindAI (a GitHub organization) maintains it in WeaveMindAI/weft, which has 1,995 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on October 6, 2026.
Source: WeaveMindAI/weft on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.