编程

TLE Developer

试用

Self-contained orchestration skill for writing high-performance TLE kernels and shipping TLE feature changes with reproducible validation. Use when the user...

它能做什么

Self-contained orchestration skill for writing high-performance TLE kernels and shipping TLE feature changes with reproducible validation. Use when the user...

技能文档

TLE Developer

Mission

Use this skill to execute TLE work end-to-end: intake -> implementation -> validation -> artifacts -> merge decision.

Scope

Use for:

  1. Writing or optimizing TLE kernels.
  2. Implementing TLE API/verifier/lowering/pipeline features.
  3. Debugging correctness, performance, and regression issues.

Self-Contained Policy

  1. Do not rely on documentation outside this skill folder.
  2. Put all detailed guidance in references/.
  3. Keep this file as orchestration-only (no duplicated deep details).

Required Input

Start every task with:

Goal:
Non-goal:
Acceptance:
Impact scope (optional):

Mandatory Read Order

  1. references/tle-sources.md
  2. references/workflow-templates.md

Operating Contract

  1. Treat references/tle-sources.md as the technical source of truth for:
    • quickstart,
    • current TLE semantics contract,
    • kernel patterns,
    • feature-development file map,
    • debug/perf procedures.
  2. Treat references/workflow-templates.md as the source of truth for:
    • intake,
    • validation matrix,
    • performance record,
    • fix summary,
    • lessons entry,
    • merge package.

Non-Negotiable Guardrails

  1. Never assume a specific python environment name.
  2. Never assume a fixed build script name.
  3. If native Triton files are modified, use marker blocks: // begin flagtree tle and // end flagtree tle.
  4. Do not add marker blocks inside third_party/tle.

Required Outputs Per Task

  1. Validation commands and outcomes.
  2. Fix Summary (when fixing bugs or regressions).
  3. Lessons Entry (for fixes and optimization work).
  4. Merge Decision Package (changed layers, risks, follow-ups).

Completion Checklist

  1. Acceptance criteria mapped to tests.
  2. Changes validated with reproducible commands.
  3. Artifacts filled from templates.
  4. Residual risks explicitly stated.

References

  1. references/tle-sources.md
  2. references/workflow-templates.md

相关技能

tl;dv

tl;dv (tldv.io). Use this skill for ANY tl;dv request — reading, creating, and updating data. Whenever a task involves tl;dv, use this skill instead of calling the API directly.

Teslamate Deploy

This skill should be used when the user wants to install or deploy TeslaMate (a self-hosted Tesla vehicle data logger + Grafana dashboard) on a local machine...

Teslamate Deploy

This skill should be used when the user wants to install or deploy TeslaMate (a self-hosted Tesla vehicle data logger + Grafana dashboard) on a local machine...

Telegram Bot

Telegram Bot (core.telegram.org). Use this skill for ANY Telegram Bot request — reading, creating, updating, and deleting data. Whenever a task involves Telegram Bot, use this skill instead of calling the API directly.

8 次安装

OpenClaw Tally

Develop, test, or integrate the OpenClaw Tally Node.js library for task-level cost, complexity, and efficiency analytics. Use when working on Tally's detector, SQLite ledger, analytics engine, or an explicit plugin/hook integration; installing this skill alone does not register hooks or slash commands.

27 次安装

tqsdk

Explain, implement, or debug TqSdk Python workflows for wait_update or is_changing update loops, market data retrieval, historical download, account type sel...

21 次安装1 星标