A README-backed, gate-driven workflow for planning, building, testing, and publishing WeChat Mini Programs. DSH-specific installation, verification, and rollback are not documented.
DSH integration
Ecosystem-related
Safety audit
Unaudited
Last verified
2026-09-13
License
MIT
01What can it help you accomplish?
Take a beginner from a WeChat Mini Program idea to an acceptance-ready release plan
A staged path covering requirements, native UI, accounts, development, testing, review, release, and updates
First-time Mini Program builders who need explicit decisions and confirmation gates
Turn a Mini Program brief into an implementable native UI direction
Three design directions, high-fidelity prototype guidance, component mapping, tabBar decisions, and device-test caveats
Builders who need a realistic WeChat-native interface before coding
Move from implementation to staged testing and publication without skipping sensitive gates
Artifact checks, L1-L7 verification guidance, release checklists, and user-controlled review and publication steps
Teams shipping a real Mini Program who need a documented handoff from code to production
02How to install into DeepSeek Harness
Prerequisites
- An Agent Skills-capable coding agent such as Codex, Claude Code, or another coding agent
- A Skill installer, or an agent able to fetch the repository from GitHub
Installation steps
- 01
Send the README's installation prompt to an Agent Skills-capable coding agent
- 02
Install the repository root as the complete Skill in the current user's Skills directory, without nesting another same-named directory
- 03
Use `<Skills directory>/launch-wechat-miniprogram/SKILL.md` as the expected entry, then invoke `$launch-wechat-miniprogram` explicitly
Verify the integration
Not specified by the author
03DSH integration and capability boundaries
Four-stage Mini Program delivery workflow
A beginner's product idea and an agreed first-release scope→Design, environment preparation, development, and release stages with one explicit task at a time
Native UI and prototype guardrails
A confirmed Mini Program scope and selected design direction→WXML/WXSS-oriented UI mapping, safe-area and tabBar decisions, and a high-fidelity HTML prototype before implementation
Existing-project inventory and artifact validation
An existing Mini Program repository before changes→A read-only inventory of structure and infrastructure plus checks for missing pages, packages, local components, tabBar PNGs, cloud functions, and packaging omissions
Release safety and project-state records
A Mini Program project moving through testing, review, or publication→Persisted planning and release records with explicit gates around dangerous actions and official-platform steps
04Who is it for? When not to use it?
Good for
- First-time Mini Program builders who need explicit decisions and confirmation gates
- Builders who need a realistic WeChat-native interface before coding
- Teams shipping a real Mini Program who need a documented handoff from code to production
Not for
- The README documents a general Agent Skill for WeChat Mini Programs, but it does not document a DeepSeek Harness adapter, profile bundle, or DSH activation command. Treat DSH integration as ecosystem-level and unverified.
- The Skill does not perform account registration, real-name submission, QR scanning, review submission, password entry, or formal publication on the user's behalf; official-platform actions remain user-controlled.
- Platform restrictions, categories, pricing, registration, and review requirements are not treated as permanent facts; the README says to reopen current official pages before execution.
- The repository's deterministic validation script supplies only L1 static evidence and cannot substitute for developer-tool compilation, simulator, real-device, trial-version, or production verification.
05Compatibility, maintenance and safety notes
- The README documents a general Agent Skill for WeChat Mini Programs, but it does not document a DeepSeek Harness adapter, profile bundle, or DSH activation command. Treat DSH integration as ecosystem-level and unverified.
- The Skill does not perform account registration, real-name submission, QR scanning, review submission, password entry, or formal publication on the user's behalf; official-platform actions remain user-controlled.
- Platform restrictions, categories, pricing, registration, and review requirements are not treated as permanent facts; the README says to reopen current official pages before execution.
- The repository's deterministic validation script supplies only L1 static evidence and cannot substitute for developer-tool compilation, simulator, real-device, trial-version, or production verification.
MIT · README-backed author documentation; no latest release listed
06Frequently asked questions
Is launch-wechat-miniprogram a native DeepSeek Harness integration?
No native DSH runtime, profile bundle, or activation command is documented in the README. This entry therefore records an ecosystem-level relationship rather than a verified DSH integration.
Can I install this Skill through DSH?
The README does not provide a DSH installation command. It documents sending an installation prompt to an Agent Skills-capable coding agent, installing the repository root as a Skill, and invoking `$launch-wechat-miniprogram`.
What does the Skill cover for a DSH user building a Mini Program?
It provides a staged workflow for requirements, native UI, prototypes, accounts and AppID, filing, development, testing, trial versions, review, release, and updates. The README does not say that these stages are DSH-specific.
Does the README provide DSH verification or rollback steps?
No. The README documents general Mini Program validation levels and release checks, but no DSH-specific verification or rollback procedure, so both fields remain empty in this record.
Can the Skill submit or publish my Mini Program for me?
No. The README keeps real-name steps, QR scans, permission confirmation, review submission, and formal publication in the user's hands, and it does not authorize the Skill to enter passwords or perform sensitive actions.
07Related DSH workflows
archify
by tt-a1i
Agent skill for beautiful, verifiable architecture, workflow, sequence, data-flow, and lifecycle diagrams—self-contained HTML with motion and crisp export.
openviking
by volcengine
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
nocobase
by nocobase
NocoBase is an open-source AI + no-code platform for building business systems fast. Instead of generating everything from scratch, AI works on top of production-proven infrastructure and a WYSIWYG no-code interface, so you get both speed and reliability.
learn-harness-engineering
by walkinglabs
Harness engineering beginner tutorial, from 0 to 1
08Data and sources
This page is generated from the project’s public documentation, repository metadata and a structured parse of DSH Plugins; last verified on 2026-09-13. Found an error? Submit a correction.
Best DeepSeek Harness Plugins
Twelve plugins worth installing first — picked from the whole catalog, across every category.