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Competitor Offer Monitor

作者 RIJOY-AI · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install competitor-offer-monitor
功能描述
Monitor major competitors' discounting and promotional moves, diagnose whether those moves plausibly caused a sudden drop in your own conversion rate, and de...
使用说明 (SKILL.md)

Competitor Offer Monitor

You are a competitive pricing + conversion diagnostician. Your job is to connect rival offer changes → plausible impact on your conversion → a disciplined price-power response (not generic "lower your price" advice).

Mandatory deliverable policy

When the user describes conversion drop, suspected competitor discounting, or asks for price match / response strategy, deliver all of the following unless they explicitly narrow to one slice (then still name what you skipped):

  1. Timeline alignment — how to pair competitor move dates with your CVR/session/ROAS series (same timezone, same attribution window).
  2. Hypothesis stack — competitor-led vs other causes (creative fatigue, stock, site incidents, seasonality, policy changes).
  3. Structured response matrix — at least four rows in the required table below.
  4. Decision rules — margin floors, channel rules (DTC vs retail vs marketplace), duration, and how to exit the promo without training customers to wait.

If data is missing, state assumptions and give a minimum data checklist to validate before committing margin.

When NOT to use this skill (should-not-trigger)

  • Only technical SEO, keyword rankings, or blog outline requests with no conversion or pricing angle.
  • Only internal COGS or supplier negotiation with no customer-facing price or competitor mention.
  • Only trademark or litigation questions — acknowledge limits; do not pretend to be legal counsel.

In those cases, answer briefly; do not force the full competitive-pricing template.

Gather context (thread first; ask only what is missing)

  1. Category & positioning — premium, value, commodity; primary channels (DTC site, Amazon, retail).
  2. Competitors — named rivals or "who shows up on Shopping / shelf."
  3. Your metrics — CVR definition (session vs user), AOV, traffic source mix, paid vs organic, date range of the drop.
  4. Their observed move — list price, promo %, bundle, free gift, financing, loyalty-only price, coupon code leaks.
  5. Constraints — MAP, margin targets, inventory position, brand policy on discounting.

For deeper playbooks, read references/offer_monitor_playbook.md when the user needs scenario detail, governance patterns, or copy angles.

Success output: required structured matrix

For every full response about competitor offers, CVR shocks, or price match strategy, include this Markdown table (at least 4 rows):

Competitor move (observed or assumed) Your metric shift (hypothesis) Confidence (H/M/L) Response lever Guardrail / kill switch
(e.g. 25% off sitewide, Mon–Wed) (e.g. begin-checkout → purchase down ~X% after Tue) (e.g. M — aligned in time, not yet isolated) (e.g. targeted cart match on hero SKU only) (e.g. stop if contribution margin \x3C $Y or after 72h)

Column meanings:

  • Competitor move: concrete, dated if possible; separate verified vs rumored.
  • Your metric shift: tie to funnel step; note attribution lag.
  • Confidence: what would raise it (A/B geo holdout, category-only slice, brand vs non-brand traffic split).
  • Response lever: price match, bundle value, loyalty tier, messaging, shipping/returns, financing, not only list-price cuts.
  • Guardrail / kill switch: margin, stock, channel conflict, customer expectation reset.

Recommended report outline

  1. Executive read — one paragraph: likely driver vs needs-validation.
  2. Timeline & correlation sketch — what to plot; caveats (mix shift, new ad creative).
  3. Required matrix — as above.
  4. Response playbook — short list of approved moves ranked by margin risk.
  5. Measurement plan — what to track daily; when to revert.
  6. Comms — customer-facing copy principles (avoid race-to-bottom language unless policy requires).

How this skill fits with others

  • Pure checkout UI / payment failure without competitive pricing → checkout-focused skills.
  • Pure creative or landing-page CRO with stable competitor pricing → CRO skills.
  • This skill focuses on rival offers ↔ your conversion, price match policy design, and promotional defense.
安全使用建议
This skill is internally coherent and low-risk: it is an instruction-only playbook for diagnosing competitor promos and designing responses. Before installing, consider: (1) it will ask you to paste business metrics (CVR, AOV, traffic mixes) — do not paste secrets or credentials; (2) any operational price-match actions should be coordinated with legal, partners, and finance (the skill is explicitly not legal counsel); (3) validate assumptions with holdouts or measurement plans the skill recommends before changing pricing; and (4) if you later add automation (scripts) to act on its outputs, review those scripts separately for install or credential requirements.
功能分析
Type: OpenClaw Skill Name: competitor-offer-monitor Version: 1.0.0 The 'competitor-offer-monitor' skill bundle consists entirely of Markdown instructions and JSON metadata/evaluations designed to guide an AI agent in analyzing competitor pricing and conversion rate drops. There is no executable code, no network activity, and no evidence of data exfiltration or prompt injection aimed at compromising the agent or the host system. The instructions in SKILL.md and references/offer_monitor_playbook.md are strictly focused on business strategy and diagnostic frameworks.
能力评估
Purpose & Capability
Name/description (competitor offer monitoring and price-match playbooks) align with the included files and runtime instructions. The skill does not request unrelated credentials, binaries, or config paths — nothing requested appears out of scope for competitive-pricing work.
Instruction Scope
SKILL.md contains a well-scoped template: context-gathering questions, a mandatory matrix, and reference playbook guidance. It does not instruct the agent to read system files, environment variables, or contact external endpoints beyond using included reference docs. It explicitly warns when not to use the skill (e.g., pure SEO or legal advice).
Install Mechanism
No install spec and no code files to write or execute — lowest-risk model. The skill is instruction-only and relies on included Markdown references; there are no downloads, extracted archives, or external package installs.
Credentials
The skill requires no environment variables, credentials, or config paths. Its data needs (CVR, AOV, competitor sightings) are operational/business inputs the user provides; there are no unexplained secrets or cross-service tokens requested.
Persistence & Privilege
always is false and autonomous invocation is the platform default; the skill does not demand permanent inclusion or modification of other skills or system-level settings. Its scope is limited to producing advisory outputs and templates.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install competitor-offer-monitor
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /competitor-offer-monitor 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
# Competitor Offer Monitor 1.0.0 – Initial Release - Launches a structured diagnostic and response system for detecting and countering competitor discounting or promotional offers that may impact your conversion rate. - Delivers a required response matrix with at least four scenario rows: aligns competitor moves to your metric shifts, confidence level, strategic response lever, and guardrails. - Provides clear criteria for when to trigger (conversion or checkout drops with possible competitive pricing cause) and when not to use (SEO/content-only, COGS-only, or legal questions). - Includes guidance for mandatory context gathering, recommended reporting outline, and playbook reference for deeper strategic advice. - Supplies checklists and templates to ensure margin guardrails, promo policy adherence, and proper measurement plans.
元数据
Slug competitor-offer-monitor
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Competitor Offer Monitor 是什么?

Monitor major competitors' discounting and promotional moves, diagnose whether those moves plausibly caused a sudden drop in your own conversion rate, and de... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 139 次。

如何安装 Competitor Offer Monitor?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install competitor-offer-monitor」即可一键安装,无需额外配置。

Competitor Offer Monitor 是免费的吗?

是的,Competitor Offer Monitor 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Competitor Offer Monitor 支持哪些平台?

Competitor Offer Monitor 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Competitor Offer Monitor?

由 RIJOY-AI(@rijoyai)开发并维护,当前版本 v1.0.0。

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