sourcing-selection
Synthesize supply-side and demand-side evidence into a practical sourcing judgment for a product, niche, or shortlist without collapsing platform data collection and business judgment into one step.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/postplusai/postplus-skills --skill sourcing-selection- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads sourcing-selection automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Sourcing Selection
Use When
- The user wants a sourcing or product-selection judgment, not just raw platform data.
- Supply-side evidence and demand-side evidence need to be combined.
- A product idea, supplier signal, channel opportunity, or shortlist needs a cautious go/no-go or next-step memo.
Do Not Use When
- Do not replace platform collection skills.
- Do not claim hosted supplier collection from this released skill surface.
- Do not turn incomplete evidence into a confident sourcing recommendation.
Core Rule
A sourcing judgment is only as strong as its weakest missing layer.
Always separate:
- observed evidence
- inference
- missing layer
If evidence is incomplete, return a provisional judgment, supporting signals, and the missing layer instead of fake certainty.
Minimal Decision Model
Use this order unless the user asks otherwise:
- demand proof
- competition shape
- channel fit
- merchant-model fit
- supply-side feasibility
- unit-economics pressure
- compliance or operational risk
Input Shapes
- Product idea validation: demand proof, supply feasibility, then synthesis.
- Supply-led opportunity check: supplier or cheap-supply signal first, then matching demand proof and channel fit.
- Demand-led sourcing check: marketplace, search, or content demand first, then supply feasibility.
- Shortlist comparison: normalize candidates into one decision frame, compare strongest evidence and biggest gaps, then rank cautiously.
Capability Routing
- Supply-side source: user-provided supplier sheets, quotations, or approved marketplace data. Do not imply a released hosted 1688 collector.
- Search-intent source: use
google-trends-researchfor early momentum and rising-query signals. - Search-led demand: use
google-trends-researchfor rising-query signals and user-provided marketplace exports for listings, reviews, price bands, and channel-native competition. - Content-language fit: use
tiktok-researchwhen demos, hooks, audience language, or content-led selling matter. - Instagram/Meta social proof: use
social-media-extractorbefore choosing the platform-specific collector.
Output Shape
The artifact packages the decision memo as JSON with product or niche, target channel, decision, demand signals, supply signals, rationale, missing layers, and recommended next step when provided.
Stop Conditions
- Stop when required user intent, source evidence, or owned input artifacts are missing and guessing would change the result.
- If an owned CLI or script command still fails after any bounded recovery allowed by the executing PostPlus skill, report the exact error and stop. Do not bypass the failure with metadata-only answers, readiness probing, local payload rewrites, fallback providers, or unpublished tools.
Handoff
- Evidence missing -> route to the right collection skill first.
- Memo complete -> hand
decision.jsonto research expansion, supplier outreach, channel decision, or brief creation.
Public Command Boundary
- Choose the smallest matching command or workflow from the user input and run it directly.
- If an owned CLI or script command still fails after any bounded recovery allowed by the executing PostPlus skill, report the exact error and stop. Do not bypass the failure with metadata-only answers, readiness probing, local payload rewrites, fallback providers, or unpublished tools.
- This public skill is instruction-driven. Produce the artifact described by the workflow directly from the available evidence.
- Do not call private provider/runtime paths or unpublished local tools.
- If the CLI returns a quote-confirmation challenge, run
postplus quote confirm --json --challenge-file <challenge.json>and retry with the returned token.
FAQ
What does the sourcing-selection skill do?
Synthesize supply-side and demand-side evidence into a practical sourcing judgment for a product, niche, or shortlist without collapsing platform data collection and business judgment into one step.
How do I install sourcing-selection?
Run npx skills add https://github.com/postplusai/postplus-skills --skill sourcing-selection in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/sourcing-selection/ (personal) or .claude/skills/sourcing-selection/ (project).
Which AI agents can use sourcing-selection?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is sourcing-selection safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains sourcing-selection?
It is published by postplusai in postplusai/postplus-skills. It has 1,008 recorded installs.
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