weave-prompt
Skill5 starsChanged 2 months agoMITView on GitHub
Generate a ready-to-paste plain-text task brief (SuperPrompt) tailored to Claude Code, Gemini/Antigravity, or Codex, built from the task and Weave's request contract, working memory, step budget, and fidelity check. Use when handing a task to another agent or session, queuing work for later, or when the user asks for a SuperPrompt or task brief.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- tony/skillstheir own version, first seen Oct 31, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- tony/skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository9 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .cursor/rules/weave.mdcCursor rule
- weave-auditSkill
- weave-debtSkill
- weave-gainSkill
- weave-helpSkill
- weave-planSkill
- weave-reviewSkill
- weaveSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 2 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 18
If weave is not on the PATH, run node "<plugin-root>/cli/weave.js" prompt ....
- Very specific: line 36
Add -s/--state to include that context alongside an explicit task.
- Very specific: line 40
Use -- before a task that starts with -.
- Distinctive: line 44
Every brief has Task, Done when, Scope, verified context when available, the existing plan and open decisions when present, engineering …
- Distinctive: line 73
Use the generated scaffold for target conventions and engineering rules.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Weave SuperPrompt
A SuperPrompt is a self-contained task brief another agent can execute directly. It is plain Markdown text, never XML, and its wording follows the target agent's own conventions.
Generate one
weave prompt [claude|gemini|codex] [options] [task...]If weave is not on the PATH, run node "<plugin-root>/cli/weave.js" prompt ....
Over MCP, call the prompt tool with task, target, mode, budget,
load_state, memory_name, and cwd.
Examples:
weave prompt claude "fix the login timeout"
weave prompt codex
weave prompt gemini -b 5 "add pagination to /users"- The first word picks the target when it is
claude,gemini(aliasesantigravity,agy),codex, orgeneric. Without it, the agent running the command is detected; unknown agents get thegenericstyle. You can also use-f/--for <agent>. - With no task, the Goal, Constraints, Not requested, Completion criteria,
Blocking questions, Plan, and Working memory from
.weave/state.mdare used. Add-s/--stateto include that context alongside an explicit task. -m/--mode <off|lite|full|ultra>sets the engineering rules (default:.weave/mode).-b/--budget <1-50>sets the step budget (default 10).--memory <name>adds a saved snapshot from.weave/memories/.- Use
--before a task that starts with-.
What each target gets
Every brief has Task, Done when, Scope, verified context when available, the existing plan and open decisions when present, engineering rules, work instructions, fidelity questions, and final report.
- claude: points to
CLAUDE.md, asks to read files before proposing changes, ask before editing when a requirement is ambiguous, and keep a todo list. - gemini: points to
GEMINI.md, asks for confirmed facts only, short tool output, one direct question when unclear, and places the task at the end, after the context. - codex: points to
AGENTS.md, asks to keep going until the task is resolved, search withrg, keep diffs minimal, run tests, and give a brief final answer.
Make it useful
The CLI/MCP output is a scaffold. When an agent invokes this skill, do not
merely paste it back to the user. First inspect the task, relevant repository
entry points, and .weave/state.md when applicable. Then produce one
ready-to-paste brief in the target agent's style that includes:
- The user's actual objective, preserved without adding features.
- Specific acceptance criteria and a practical verification for each.
- Confirmed repository facts: relevant paths, the current flow, and any constraints or invariants the next agent must preserve.
- The first useful action and an ordered plan for multi-step work. Include the existing plan only after checking it still fits the request.
- The one blocking question, if any, or explicit assumptions otherwise.
Use the generated scaffold for target conventions and engineering rules; remove repeated or irrelevant boilerplate. Distinguish verified facts from assumptions. If there is no repository context, do not invent paths or acceptance criteria that cannot follow from the task. Ask for missing information only if a correct brief cannot be written without it. Present only the finished Markdown brief, without XML or commentary about generation.
When to use this vs. the weave skill
For a task you are executing yourself in this session, follow the weave
skill directly. Use weave-prompt when the work goes to another agent or
session, or when the user explicitly asks for a SuperPrompt.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

