T2a
Skill t2a-protocol/T2A/integrations/t2a-memory/templates/skills/t2a
Complete T2A Protocol capsules when a tool returns t2a.handoff, points to task.json, needs output.json, or asks for validation.From its SKILL.md
npx -y skills add t2a-protocol/T2A --skill t2aAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
1.4 KB, 312 tokens by cl100k_base, as published. Nobody here has run it
T2A
Instructions
Use this skill when a tool returns type: "t2a.handoff", points to task.json, asks for output.json, or asks you to complete a T2A task.
- Read
task.jsonfirst. - Read
prompt.mdand declared input files. - Follow
output.schema.json. - Write structured output to the declared output path.
- Run validation if it is safe and available.
- Repair
output.jsonuntil validation passes. - Stop after validation unless the user explicitly asks you to resume or continue.
Guidelines
- Do not call external LLM APIs for T2A.
- Do not ask for
model,base_url,api_key, or provider configuration. - Do not invent IDs, URLs, citations, resource IDs, or references.
- Do not read undeclared files unless the user explicitly authorizes it.
- Missing
output.jsoncan be normal before you complete a pending handoff. - Treat T2A core validation and issuing-tool domain validation as separate layers.
- Do not resume side-effecting workflows unless explicitly instructed by the user, task policy, or host runtime.
Examples
- A CLI prints
T2A handoff requiredand returns a task directory. - A tool returns
{"type":"t2a.handoff","local":{"task_file":".../task.json"}}. - The user asks you to complete a T2A capsule and run validation.
What ships with it: 1 file
277 B alongside SKILL.md
agents/
- openai.yaml277 B