Token导航 LogoToken导航

Agent Skill · 研究检索

competitor-positioning(竞争对手定位)

competitor-positioning 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

competitor-positioning 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 61,604。

总安装 349周安装 14GitHub Stars 45下载 113核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:competitor-positioning(竞争对手定位)
来源仓库:https://github.com/nimbleway/agent-skills
仓库路径:skills/competitor-positioning
安装命令:
npx skills add https://github.com/nimbleway/agent-skills --skill competitor-positioning
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/nimbleway/agent-skills --skill competitor-positioning

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

利用专业数据API深度解析竞品对外传播话语体系演变轨迹。输出市场营销简报聚焦信息如何影响消费者心智占位过程。持续更新对手价值主张表述变化趋势指导己方传播策略迭代。必须输入具体公司名称或产品名称作为目标分析主体方可启动调研。

competitor-positioning 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/competitor-positioning

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/nimbleway/agent-skills --skill competitor-posi…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

competitor-positioning 怎么安装?

在终端执行 npx skills add https://github.com/nimbleway/agent-skills --skill competitor-positioning。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

competitor-positioning 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

competitor-positioning 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

competitor-positioning 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

competitor-positioning 用的人多吗?

公开数据是累计安装 349 次,近一周安装 14 次,下载 113 次,GitHub 45 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

competitor-positioning 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
competitor-positioning

竞争对手定位 · 本页

34945接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Competitor Positioning

Marketing-focused competitive positioning analysis powered by Nimble's web data APIs. Built for marketing teams who need to understand how competitors present themselves — messaging, value props, content themes, pricing — and how that evolves over time.

The output is a marketing briefing, not a signal feed. Every insight should answer: "what does this mean for our messaging and positioning?"

User request: $ARGUMENTS

Argument parsing — determine what to do before running anything:

  • No arguments → run full workflow (scope confirmation in Step 2)
  • Competitor names (e.g., "Exa, Tavily") → research only those, skip scope confirmation
  • "battlecard [competitor]" → skip to Battlecard Generation (see below) using existing snapshots from memory
  • "delta" / "what changed" → force delta mode regardless of timing

Before running any commands, read references/nimble-playbook.md for Claude Code constraints (no shell state, no &/wait, sub-agent permissions, communication style).


Instructions

Step 0: Preflight

Run the preflight pattern from references/nimble-playbook.md (5 simultaneous Bash calls: date calc, today, CLI check, profile load, index.md load).

From the results:

  • CLI missing or API key unset → references/profile-and-onboarding.md, stop
  • Profile exists → load prior data from two sources:

- ~/.nimble/memory/positioning/*.md — prior positioning snapshots (used for delta detection in Steps 4 + 5) - ~/.nimble/memory/competitors/*.md — business signals from competitor-intel runs (provides context for *why* positioning may have shifted, e.g., a funding round or leadership change that preceded a messaging pivot) Determine mode: - Full snapshot: first run OR no prior positioning data OR last run > 14 days ago - Delta mode: last run < 14 days ago — only surface what changed - Same-day repeat: if last_runs.competitor-positioning is today, check for existing report at ~/.nimble/memory/reports/competitor-positioning-[today].md. If found, ask: "Already ran today. Run again for fresh data?" Don't silently re-run. - Skip to Step 2

  • No profile → Step 1

Step 1: First-Run Onboarding (2 prompts max)

This skill shares the competitor list from competitor-intel. If a profile already exists with competitors, skip onboarding entirely.

If no profile exists, follow references/profile-and-onboarding.md for the full onboarding flow. The profile and competitor list created here will be shared across all business skills.

Step 2: Confirm Scope

If $ARGUMENTS already specifies competitors, use those and skip this step.

Otherwise, check how many competitors are in the profile:

  • 4 or fewer → proceed with all, no confirmation needed
  • More than 4 → ask which to focus on (use AskUserQuestion): You have [N] competitors tracked. Which ones should I analyze? All [N] (~[3-5 × N] Nimble API credits, ~[N × 2] min) [Category A]: [names] (grouped by category from profile) [Category B]: [names] Let me pick — I'll list them Accept natural language: "just the AI search ones" → resolve from profile categories.

This prevents wasted API credits and wall time on competitors the user doesn't care about right now. Each competitor costs ~3-5 Nimble API credits (1 map + 3-4 extracts

  • 2-3 searches).

Step 3: WSA Discovery

For each competitor domain and the user's domain, discover available WSAs:

nimble agent list --search "{domain}" --limit 20

Run one search per domain simultaneously. Filter for SERP/PDP WSAs, prefer managed_by: "nimble", validate with nimble agent get --template-name {name}. Cache discovered names + params. Pass them to competitor agents in Step 5 for richer extraction. If no WSAs found, continue with nimble search/extract/map.

Step 4: Capture the User's Own Positioning (baseline)

Before analyzing competitors, capture the user's own positioning as a baseline for the messaging matrix.

First, discover the site structure to find the right pages to extract:

nimble --transform "links.#.url" map --url "https://[company-domain]" --sitemap only --limit 200

From the returned URLs, identify the features/product page and pricing page (look for paths containing /features, /product, /platform, /pricing, /plans).

Then extract the key pages simultaneously (homepage + whichever pages map found):

  • nimble extract --url "https://[company-domain]" --format markdown → Homepage messaging, tagline, hero copy, CTAs
  • nimble extract --url "[features-page-url]" --format markdown → Features page structure and emphasis (skip if map found no match)
  • nimble extract --url "[pricing-page-url]" --format markdown → Pricing structure and tier naming (skip if map found no match)

If a page extraction returns garbage, note "page not accessible" and continue — partial baseline is better than none.

Step 5: Parallel Research Per Competitor (sub-agents)

Read references/positioning-agent-prompt.md for the full agent prompt template. Follow the sub-agent spawning rules from references/nimble-playbook.md (bypassPermissions, batch max 4, explicit Bash instruction, fallback on failure).

Call estimation & Scaled Execution: Before launching agents, estimate total API calls: ~1 map + 3 extractions + 3 searches per competitor = ~7 × N calls (plus baseline from Step 3). For 2+ competitors (14+ calls), tell agents to use extract-batch for page extractions instead of individual calls. See the Scaled Execution pattern in references/nimble-playbook.md for tier selection.

For each competitor in scope, spawn a general-purpose sub-agent with mode: "bypassPermissions" and inline the prompt from references/positioning-agent-prompt.md. Customize the prompt with each competitor's name, domain, start-date, previous positioning snapshot from memory (loaded in Step 0), and any discovered WSA names from Step 3 for richer data access.

Do NOT use agents/nimble-researcher.md — that agent is scoped for raw data gathering and explicitly forbids analysis, but this skill requires interpretive work (identifying audience signals, comparing positioning snapshots, assessing structure implications).

Each agent handles the complete research cycle for one competitor:

  1. nimble map to discover the site's actual page structure
  2. Extract homepage, features, and pricing pages (using discovered URLs)
  3. Search for and extract recent blog posts (2-3 deep dives)
  4. Analyze social proof (case studies, testimonials)
  5. Compare against previous snapshot for changes

The agent returns a structured positioning snapshot — see the prompt template for the full output format. No separate blog extraction step is needed; agents handle it.

If an agent's blog extraction was thin (< 2 posts extracted), optionally extract additional posts from the main context using URLs from the agent's search results.

Fallback: If an agent fails entirely, run extractions directly from the main context using the same prompt template steps.

Step 6: Analysis & Output

Frame everything for a marketing team. Use terms they work with: messaging hierarchy, share of voice, battlecard inputs, content calendar implications.

When analyzing blog content from agent results, look for:

  • Recurring narratives — what story is this company telling repeatedly?
  • Audience targeting — are posts aimed at developers, executives, practitioners?
  • Competitive mentions — do they name competitors or position against categories?
  • SEO patterns — what keywords do titles and headings target?
  • Content maturity — original research, thought leadership, or generic how-tos?

Full snapshot mode (first run or > 14 days since last):

  • TL;DR for Marketing — 3-5 key positioning insights the marketing team should act on, each with a specific implication (e.g., "Competitor X shifted tagline from developer-focused to enterprise — consider whether our messaging still differentiates")
  • Messaging Matrix — build a comparison table with rows for Tagline, Primary CTA, Value Props, Target Audience, and Pricing Model across all competitors including your company. Use verbatim quotes for taglines and CTAs.
  • Per Competitor — Positioning Profile:

- Site structure signals (what pages exist/don't exist, subdomains) - Homepage messaging breakdown (tagline, hero, CTAs, value props) - Features page analysis (what they emphasize, differentiation claims) - Pricing positioning (model, tier strategy, enterprise signals) - Content strategy (blog themes, cadence, audience, content types) - Social proof strategy (who they showcase, what outcomes they highlight)

  • Content Gap Analysis — what competitors are publishing that you're not:

- Topics they cover that you don't - Content formats they use (case studies, benchmarks, ROI calculators) - Audience segments they address in content

  • Positioning White Space — messaging angles no competitor has claimed strongly:

- Unclaimed value props - Underserved audience segments - Narrative gaps

  • Recommended Actions — specific, actionable next steps for the marketing team (e.g., "Draft counter-messaging for Competitor X's new enterprise positioning", "Prioritize case studies targeting [segment] — 3 competitors already own this space")

Delta mode (last run < 14 days) — changes only:

  • What Changed — per competitor, before/after for each shift:

- "Tagline: '[old]' → '[new]'" - "New feature category added: [name]" - "Pricing model shifted from [old] to [new]" - "New blog theme emerging: [topic] (3 posts in last 2 weeks)"

  • Nothing Changed — list competitors with no positioning shifts
  • Marketing Implications — what the changes mean for your team's priorities

Core rules:

  • Every claim must link to the source page.
  • Deduplicate against ~/.nimble/memory/positioning/*.md — in delta mode, only surface genuinely new changes.
  • Say "no positioning changes detected" rather than padding with fluff.
  • Use verbatim quotes for taglines, CTAs, and value props — don't paraphrase.

WSA enrichment: If WSAs were discovered in Step 3, agents should use them alongside nimble map/nimble extract for richer page data.

Step 7: Save & Update Memory

Make all Write calls simultaneously:

  • Report → ~/.nimble/memory/reports/competitor-positioning-[date].md (save the full briefing, not a summary — this is the local source of truth)
  • Per competitor → save positioning snapshot to ~/.nimble/memory/positioning/[name].md using the format in references/positioning-snapshot-format.md. Append a dated entry to the History section so future runs can detect what changed and when. Add [[competitors/name]] cross-references to link positioning snapshots to competitor intel files.
  • Profile → update last_runs.competitor-positioning in ~/.nimble/business-profile.json
  • Follow the wiki update pattern from references/memory-and-distribution.md: update index.md rows for all affected entity files, append a log.md entry for this run.

Step 8: Share & Distribute

Always offer distribution — do not skip this step. Follow references/memory-and-distribution.md for connector detection, sharing flow, and source links enforcement. Marketing teams especially benefit from shared Notion pages they can reference in positioning workshops and content planning sessions.

Battlecard Generation

Triggered by "battlecard [competitor]" argument or as a follow-up request.

Inputs: Read the competitor's positioning snapshot from ~/.nimble/memory/positioning/[name].md and the user's own baseline from the most recent report. If no snapshot exists (or it's stale > 14 days), run Steps 4-5 for that competitor first, then return here.

Output format:

# Battlecard: [Your Company] vs [Competitor]
## As of [date]

### Competitor Overview
- Tagline: [verbatim]
- Primary CTA: [verbatim]
- Target audience: [who their messaging speaks to]
- Pricing model: [type and entry price if known]

### Their Key Claims
[List each value prop / differentiator they emphasize, verbatim with source URL]

### Our Counter-Positioning
[For each claim above: our response, proof points, and messaging angle]

### Feature Comparison
| Capability | Us | Them | Advantage |
|---|---|---|---|

### Where They Win (acknowledge honestly)
[Areas where their positioning is stronger or they have genuine advantages]

### Where We Win
[Our unique advantages, with evidence]

### Objection Handling
| Prospect Says | Respond With |
|---|---|

### Recommended Talking Points
[3-5 concise talking points for sales/marketing conversations]

Step 9: Follow-ups

  • Generate battlecard for a competitor → runs Battlecard Generation above
  • Draft counter-messaging for a specific competitor claim → suggest alternative angles and proof points
  • Content calendar comparison → map your publishing against competitors' cadence
  • Go deeper on a competitor → extract additional pages (about, careers, partners, case studies)
  • Track a new competitor → update competitors, create positioning snapshot
  • Skip a competitor → update preferences.skip_competitors
  • "Looks good" → done

Sibling skill suggestions:

Next steps: - Run competitor-intel for business signals (funding, hiring, product launches) - Run company-deep-dive for a full 360 profile on any competitor - Run meeting-prep if you're meeting with someone at a competitor

Agent Teams Mode (Dual-Mode)

Check at startup: echo $CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS

Team mode (flag set):

  • Use the Agent tool with name: parameter so teammates are addressable
  • Teammates can use SendMessage to share cross-competitor patterns they discover (e.g., "two competitors both shifted to usage-based pricing this month")
  • After all competitor teammates return, spawn a Marketing Analyst teammate with all findings as input, focused solely on content gap analysis and positioning white space — this separates data collection from strategic analysis
  • Lead synthesizes the final cross-validated marketing briefing

Solo mode (flag not set):

  • Standard fire-and-forget sub-agents (no SendMessage, no name:)
  • All analysis happens in the main context after agents return

Error Handling

See references/nimble-playbook.md for the standard error table (missing API key, 429, 401, empty results, extraction garbage). Skill-specific errors:

  • Search 500: Retry once without --focus flag. If still failing, retry with a simplified query (shorter terms, no date filter). Log the failure but don't skip the competitor.
  • Search timeout: Retry once, then skip that call and continue — consistent with the playbook's timeout policy.
  • Page extraction fails (404/garbage): The map step should prevent most 404s by discovering actual URLs first. If extraction still fails, note "page not accessible" and continue — partial data is better than no data.
  • Map returns empty: Some sites block sitemap access. Fall back to extracting the homepage directly and guessing common paths (/features, /pricing, /blog).
  • Empty blog results: Some companies don't blog. Note "no active blog detected" and focus on page-based positioning instead.

平台分布

Codex

34.22%
按下载量换算39

Claude

30.74%
按下载量换算35

Cursor

16.6%
按下载量换算19

Gemini CLI

10%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills