lovstudio/skills/skills/skill-publisher/SKILL.md
lov-skill-publisher
Publish or submit a validated Skill. Default to the LovStudio official website, run lov-skill-pricing automatically, and use other channels only when explicitly named.
- Source repository stars
- 64
- Declared platforms
- 0
- Static risk flags
- 1
- Last source update
- 2026-08-23
- Source checked
- 2026-08-25
Decision brief
What it does: where it fits
Publish one validated local Skill source to the LovStudio official website or explicitly selected additional channels. When the user does not specify a channel, run only the Skill Publisher website adapter. Always auto-price first, keep channel metadata and generated packages ou…
Not for
- Tasks that require unconfirmed production actions or broad system permissions.
- Environments where the pinned source and install steps cannot be inspected.
Compatibility matrix
Platform support, with evidence labels
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
Inspect first. Install second.
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/lovstudio/skills --skill "skills/skill-publisher"Inspect the Agent Skill "lov-skill-publisher" from https://github.com/lovstudio/skills/blob/8f250b126bb7e7eb6db0203c97d8279f75ae152d/skills/skill-publisher/SKILL.md at commit 8f250b126bb7e7eb6db0203c97d8279f75ae152d. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
What the source asks the agent to do
- 01
Workflow (MANDATORY)
Check that source has no platform metadata directory or generated release artifacts. Record name, version, description, modules, dependencies, git state, and whether a remote already exists.
Resolve this Skill as SKILLDIR.Resolve the source from an explicit path, current directory, or conversation.Resolve target settings from flags, environment, and shared profile. - 02
Step 0: Resolve roots and settings
Resolve this Skill as SKILLDIR.
Resolve this Skill as SKILLDIR.Resolve the source from an explicit path, current directory, or conversation.Resolve target settings from flags, environment, and shared profile. - 03
Step 1: Validate canonical source
Check that source has no platform metadata directory or generated release artifacts. Record name, version, description, modules, dependencies, git state, and whether a remote already exists.
Check that source has no platform metadata directory or generated release artifacts. Record name, version, description, modules, dependencies, git state, and whether a remote already exists. - 04
Step 2: Auto-price the Skill
Use lov-skill-pricing for every source, even when the user only says “发布” or selects a channel without mentioning price.
Pass the validated source, version, delivery unit, real result evidence,Let the pricing workflow use explicit assumptions when cost/value inputs areIf the user supplied a public price, currency, free/paid status, or billing - 05
Step 3: Resolve channels and release model
If channels are explicit, proceed without another distribution question. If no channel is named, select only Skill Publisher and proceed without asking the user to choose a channel. Expand to all supported adapters only after an explicit all-channel or multi-platform request.
public/private visibility and free/paid catalog status where supported;organization, account, catalog, or output location;platform metadata, icon, examples, and source locator;
Permission review
Static risk signals and limitations
Runs scripts
The documentation asks the agent to run terminal commands or scripts.
python3 "$SKILL_DIR/scripts/validate_skill.py" SOURCE --target sourceRuns scripts
The documentation asks the agent to run terminal commands or scripts.
python3 "$SKILL_DIR/scripts/build_workbuddy.py" SOURCE \Evidence record
Why each signal appears
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 91/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 64 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Provenance and original SKILL.md
- Repository
- lovstudio/skills
- Skill path
- skills/skill-publisher/SKILL.md
- Commit
- 8f250b126bb7e7eb6db0203c97d8279f75ae152d
- License
- MIT
- Collected
- 2026-08-25
- Default branch
- main
View the original SKILL.md
lov-skill-publisher
Publish one validated local Skill source to the LovStudio official website or explicitly selected additional channels. When the user does not specify a channel, run only the Skill Publisher website adapter. Always auto-price first, keep channel metadata and generated packages outside canonical source, and report evidence per selected channel.
Triggers
Activate when
- 用户说“发布这个 Skill”“上架 Skill Publisher”“生成 WorkBuddy 包”或“分发到多个平台”。
- The user asks to publish, release, distribute, upload, or package an existing Skill.
Do not activate when
- 用户要创建、实现、修改或仅在本地安装 Skill;交给
lov-skill-creator。 - 用户只是在调用某个业务 Skill,而不是发布它。
Product boundary
- Input is a local Skill source that already passes source validation.
- When no channel is specified, select only Skill Publisher, the LovStudio official website adapter.
- Explicitly named channels narrow the run; do not ask a channel-selection question when the request omits channel parameters.
- Run every supported adapter only when the user explicitly says “全部渠道”, “多平台”, “all channels”, or names every intended channel.
- A request may select multiple channels in one run.
- Pricing, visibility, protection, licensing, and target accounts are publishing inputs. Reuse context when known and ask only for values required by a target.
- Every publish run invokes
lov-skill-pricingby default to create or refresh one evidence-backed Pricing Card per Skill before channel preparation. An explicit user price is a constraint for that pricing pass, not a reason to skip it. - Keep the canonical Pricing Card in publisher profile/output storage. Transform only its public fields into catalogs, packages, or submission forms; do not add channel state or generated cards to canonical Skill source.
- Channel metadata, credentials, staging files, and archives stay outside source.
Supported adapters in this version:
- Skill Publisher — source repository, release, catalog, cache refresh, and live page.
- WorkBuddy(CodeBuddy 开放平台) — 生成独立 Skill ZIP,并在控制台上传、解析、填写上架信息和提交审核。
- Alipay SkillPay — validated product ZIP, explicit CNY price, upload, parse, submission, and observable review state.
For any additional platform, follow references/channels.md and verify its
current official name, submission contract, public URL, and completion signal
before implementing an adapter.
User Configuration
Publishing inherently needs persistent target settings. Initialize them on first
use through references/user-config.md, while keeping tokens in environment or
credential stores rather than committed profiles.
Workflow (MANDATORY)
Step 0: Resolve roots and settings
- Resolve this Skill as
SKILL_DIR. - Resolve the source from an explicit path, current directory, or conversation.
- Resolve target settings from flags, environment, and shared profile.
- Verify referenced scripts and channel documents before external changes.
Step 1: Validate canonical source
python3 "$SKILL_DIR/scripts/validate_skill.py" SOURCE --target source
Check that source has no platform metadata directory or generated release artifacts. Record name, version, description, modules, dependencies, git state, and whether a remote already exists.
Step 2: Auto-price the Skill
Use lov-skill-pricing for every source, even when the user only says “发布” or
selects a channel without mentioning price.
- Pass the validated source, version, delivery unit, real result evidence,
maintenance/support conditions, selected channels, and any existing price or
pricing-card.yamlinto the pricing workflow. - Let the pricing workflow use explicit assumptions when cost/value inputs are missing. Ask at most one focused question only when the missing field changes the commercial model; ordinary missing estimates must not block publication.
- If the user supplied a public price, currency, free/paid status, or billing model, preserve it as a hard publishing constraint and have the Pricing Card explain any difference from its model recommendation.
- Record recommended price, launch price, stable range, billing model, channel, cost floor, value anchor, weighted score, confidence, evidence gaps, and review trigger outside canonical source.
- Reuse this one price contract across selected adapters. Skill Publisher maps it into catalog pricing metadata and its public Pricing Card; SkillPay uses the public CNY price; installation-only channels use the free/paid funnel and upgrade path without inventing a separate price.
Do not hand-author an unexplained price inside a channel adapter. If automatic
pricing cannot run, mark pricing blocked with the missing Skill/resource and do
not submit a paid listing with an inferred number.
Step 3: Resolve channels and release model
If channels are explicit, proceed without another distribution question. If no channel is named, select only Skill Publisher and proceed without asking the user to choose a channel. Expand to all supported adapters only after an explicit all-channel or multi-platform request.
For each selected channel, resolve only required fields:
- public/private visibility and free/paid catalog status where supported;
- organization, account, catalog, or output location;
- platform metadata, icon, examples, and source locator;
- requested version versus current source version.
Do not ask users to choose implementation details such as staging layout, validation commands, archive format, or adapter order.
Step 4: Build a per-channel plan
Read references/channels.md, then load only the selected channel references.
Keep independent state for each target so one failure does not masquerade as a
successful multi-channel release.
Step 5: Publish Skill Publisher
Read references/publishing.md completely. Execute the source repository,
release, catalog, cache refresh, and live verification workflow. Publication is
complete only when the expected version and release-specific content are visible
on the live detail page.
Step 6: Publish WorkBuddy through CodeBuddy
Read references/workbuddy.md completely. Keep connector metadata and icon in a
publisher profile outside source, then run:
python3 "$SKILL_DIR/scripts/build_workbuddy.py" SOURCE \
--meta CONNECTOR_META \
--icon ICON \
--output-dir OUTPUT_DIR
Record source validation, package validation, archive listing, checksum, module
count, and output paths. Then follow references/workbuddy.md: upload each
individual ZIP to https://www.codebuddy.cn/open/console/dashboard, wait for
“解析成功”, fill user-facing Chinese/English listing fields, and submit it.
Record the review state separately from public listing evidence.
Step 7: Submit Alipay SkillPay
Read references/skillpay.md completely. Build a clean product ZIP outside the
canonical source, keep the current Pricing Card price as the single public CNY
price, then upload and wait for parsing to finish before submitting. Record the
product title, package checksum, public price, submission result, and current
review state. A parsed archive is only uploaded; a success notice after form
submission is review until the marketplace marks the product live.
Step 8: Additional platform adapter
Use the adapter contract in references/channels.md. Research current official
documentation, implement deterministic preparation/validation scripts when
useful, and define an observable completion gate. Never reuse another channel's
metadata or call an upload dialog a completed publication.
Step 9: Multi-channel report
Report each target separately:
| Channel | State | Version/artifact | Evidence | Follow-up |
|---|---|---|---|---|
| TARGET | prepared/published/verified | VALUE | URL or local path | ACTION |
Use precise states. prepared, uploaded, installed, listed, and live
represent different outcomes.
Dependencies
- Python 3.8+
- PyYAML
lov-skill-pricingfor the default pre-publish Pricing Cardgitandghfor GitHub-backed publication- Target-specific credentials resolved without printing secrets
Local development
Validate this publisher Skill with:
python3 scripts/validate_skill.py . --target source
Runtime context (shared)
运行前读取本 Skill 包的 skill.yaml,由宿主提供 skill-runtime/v1 上下文。字段解析顺序为:当前请求、项目上下文、个人 Preferences、品牌 Profile、通用默认值。
- 只使用 Manifest 声明的字段;Profile 保存公开品牌事实,Preferences 保存个人工作偏好。
required: true字段缺失时,按 Manifest 的问题配置向用户提出一个聚焦问题;用户明确同意后再保存回答。- 报错提供可复制的
context_id、字段路径与来源,诊断内容避开秘密、完整私人路径和原始配置。
通用反馈闭环
用户在 Skill 驱动任务中提出修改意见时,继续当前产物前必须执行:
- 先判断意见是
task-specific(仅本次)还是reusable(可跨任务复用)。 task-specific只修改当前任务,不改 Skill。reusable先确定作用域:领域规则先更新对应 canonical Skill;适用于所有 Skill 的规则先更新共享规范。- 完成规则更新、版本、lint 与分发核验后,再把修改应用到当前任务。
reusable修改会使此前的“确认”“继续”“发吧”失效;完成当前产物修改和回读后必须停下,等待用户下一步指示,不自动进入发布、提交或其他外部写入。
Frequently asked questions
What to verify before installation and use
What does the lov-skill-publisher source document cover?
Publish one validated local Skill source to the LovStudio official website or explicitly selected additional channels. When the user does not specify a channel, run only the Skill Publisher website adapter. Always auto-price first, keep channel metadata and generated packages ou…
How do I install lov-skill-publisher?
The source record exposes this install command: npx skills add https://github.com/lovstudio/skills --skill "skills/skill-publisher". Inspect the command and pinned source before running it.
Which permission-related actions were detected?
Static rules flagged exec-script in the source; the page lists the matching lines and excerpts.
Alternatives
Compare before choosing
vasilyu1983/AI-Agents-public
research-git
Scans public GitHub repos for agent skills, dev practices, and code patterns. Use when enriching skills, setting team policy, or researching a build domain.
drafthq/draft
decompose
Decompose project or track into modules with dependency mapping. Project scope updates architecture.md and derives .ai-context.md. Track scope generates hld.md (always) and lld.md (when --lld or High-complexity module triggers it) — design-mandated artifacts that drive implement, deploy-checklist, and upload sign-off.
microsoft/Sico
android-tester
Execute Android UI workflows on a sandbox device, review results, and produce a structured execution report.
JasonColapietro/suede-creator-skills
suede-instagram-growth
Suede-owned Instagram growth operating system for account-specific audits, Reels, carousels, Stories, conversion mapping, calendars, and daily candidate-production loops. Use when the user names Instagram, IG, Reels, Stories, asks to analyze recent posts, grow a handle, run a daily workflow, create or repurpose Instagram content, or distinguish views from follows, leads, and sales. NOT FOR: multi-platform organic strategy (use suede-social), full video rendering or editing (use suede-video), pai