Skills in this repository
SkillsMP has collected 196 skills from WeaveMindAI/weft. Open a skill to review its source and details.
WeaveMindAI/weftShowing 40 of 196 collected skills.
Read when a trigger needs the internet to reach weft (a route, a provider that pushes its events), when the user asks about a public URL or a tunnel, or when activation fails with "needs your weft to be reachable from the internet": what the error means,…
Read when a trigger needs the internet to reach weft (a route, a provider that pushes its events), when the user asks about a public URL or a tunnel, or when activation fails with "needs your weft to be reachable from the internet": what the error means,…
Code mode: rules for writing and refactoring code. Style (DRY, SYNC markers, naming), no fallbacks fail loudly, tooling, testing pyramid. Load when switching to [code mode], before writing or editing code, or when fixing review findings.
Code mode: rules for writing and refactoring code. Style (DRY, SYNC markers, naming), no fallbacks fail loudly, tooling, testing pyramid. Load when switching to [code mode], before writing or editing code, or when fixing review findings.
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 displaying (a WhatsApp bridge's QR code, a database's minted…
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 number honest.
Read when a program talks to a model, messages people, spends money or writes into other systems: the swiss cheese model, the free layers built by default, the layers that cost something and the one-sentence test for when a program is high stakes, the wiring…
Builds the project's frontend under front/ end to end, unsupervised. Dispatched by Tangle with the pages a person must use and the signals behind them. Reads the weft-frontend and weft-consumers skills, builds on the default stack (pnpm, SvelteKit,…
Writes and overhauls the LLM prompts inside a weft program (system prompts in assets/prompts/, user prompt templates, JSON extraction instructions), and tries each one on two real inputs on the stage's own model node before handing it over. Runs on the…
COMMAND, not reference: Grow the program one stage at a time against a real input, seeded runs and frozen examples included. Run this when the user asks for this step by name, optionally naming the stage to grow next or an example to check. The `weft-`…
COMMAND, not reference: Build and run the weft program, then report what came out. Run this when the user asks for this step by name, optionally naming node ids to target. The `weft-` reference skills beside it are things you read; this is a procedure you…
Read when a program talks to a model, messages people, spends money or writes into other systems: the swiss cheese model, the free layers built by default, the layers that cost something and the one-sentence test for when a program is high stakes, the wiring…
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, shadcn-svelte), calling the program's own routes and signal…
COMMAND, not reference: Grow the program one stage at a time against a real input, seeded runs and frozen examples included. Run this when the user asks for this step by name, optionally naming the stage to grow or an example name to rerun. The `weft-`…
Read when a program talks to a model, messages people, spends money or writes into other systems: the swiss cheese model, the free layers built by default, the layers that cost something and the one-sentence test for when a program is high stakes, the wiring…
COMMAND, not reference: Grow the program one stage at a time against a real input, seeded runs and frozen examples included. Run this when the user asks for this step by name, optionally naming the stage to grow or an example to check. The `weft-` reference…
Read when a program talks to a model, messages people, spends money or writes into other systems: the swiss cheese model, the free layers built by default, the layers that cost something and the one-sentence test for when a program is high stakes, the wiring…
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, shadcn-svelte), calling the program's own routes and signal…
Grow the program one stage at a time against a real input, seeded runs and frozen examples included
Build and run the weft program, then report what came out
Read when a program talks to a model, messages people, spends money or writes into other systems: the swiss cheese model, the free layers built by default, the layers that cost something and the one-sentence test for when a program is high stakes, the wiring…
Builds the project's frontend under front/ end to end, unsupervised. Dispatched by Tangle with the pages a person must use and the signals behind them. Reads the weft-frontend and weft-consumers skills, builds on the default stack (pnpm, SvelteKit,…
Writes and overhauls the LLM prompts inside a weft program (system prompts in assets/prompts/, user prompt templates, JSON extraction instructions), and tries each one on two real inputs on a model of the program's class before handing it over. Runs on the…
Read when a program talks to a model, messages people, spends money or writes into other systems: the swiss cheese model, the free layers built by default, the layers that cost something and the one-sentence test for when a program is high stakes, the wiring…
Read when a program talks to a model, messages people, spends money or writes into other systems: the swiss cheese model, the free layers built by default, the layers that cost something and the one-sentence test for when a program is high stakes, the wiring…
Read when a program talks to a model, messages people, spends money or writes into other systems: the swiss cheese model, the free layers built by default, the layers that cost something and the one-sentence test for when a program is high stakes, the wiring…
Read when a program talks to a model, messages people, spends money or writes into other systems: the swiss cheese model, the free layers built by default, the layers that cost something and the one-sentence test for when a program is high stakes, the wiring…
Read when a program talks to a model, messages people, spends money or writes into other systems: the swiss cheese model, the free layers built by default, the layers that cost something and the one-sentence test for when a program is high stakes, the wiring…
Read when a program talks to a model, messages people, spends money or writes into other systems: the swiss cheese model, the free layers built by default, the layers that cost something and the one-sentence test for when a program is high stakes, the wiring…
Code mode: rules for writing and refactoring code. Style (DRY, SYNC markers, naming), no fallbacks fail loudly, tooling, testing pyramid. Load when switching to [code mode], before writing or editing code, or when fixing review findings.
Read when a program serves several PEOPLE, each with their own account, number, bot, spreadsheet or schedule (a WhatsApp assistant for many customers, a Slack bot per workspace, a report per client): the table that says which person owns which instances, one…
Read when a program calls a language model and you need it to behave: whether it reasons before answering and how hard, what bounds a reply's length and why one comes back empty, what a class of model costs in time and money, and how prompt caching works…
Read when a program serves several PEOPLE, each with their own account, number, bot, spreadsheet or schedule (a WhatsApp assistant for many customers, a Slack bot per workspace, a report per client): the table that says which person owns which instances, one…
Read when a program calls a language model and you need it to behave: whether it reasons before answering and how hard, what bounds a reply's length and why one comes back empty, what a class of model costs in time and money, and how prompt caching works…
Read when a program serves several PEOPLE, each with their own account, number, bot, spreadsheet or schedule (a WhatsApp assistant for many customers, a Slack bot per workspace, a report per client): the table that says which person owns which instances, one…
Read when a program calls a language model and you need it to behave: whether it reasons before answering and how hard, what bounds a reply's length and why one comes back empty, what a class of model costs in time and money, and how prompt caching works…
Read when a program serves several PEOPLE, each with their own account, number, bot, spreadsheet or schedule (a WhatsApp assistant for many customers, a Slack bot per workspace, a report per client): the table that says which person owns which instances, one…
Read when a program calls a language model and you need it to behave: whether it reasons before answering and how hard, what bounds a reply's length and why one comes back empty, what a class of model costs in time and money, and how prompt caching works…
Read when a program serves several PEOPLE, each with their own account, number, bot, spreadsheet or schedule (a WhatsApp assistant for many customers, a Slack bot per workspace, a report per client): the table that says which person owns which instances, one…
Read when a program calls a language model and you need it to behave: whether it reasons before answering and how hard, what bounds a reply's length and why one comes back empty, what a class of model costs in time and money, and how prompt caching works…