Competitors Analysis

daymade/claude-code-skills/competitors-analysis

作者 daymade2c6d263d1fcc无许可证1.4K 个星标收录于 2026年10月8日更新于 2026年10月8日仓库今天更新

Clones and audits competitor repositories into evidence-based intelligence with file:line citations. Use to track competitors, add a competitor repo, review competitor code, compare capabilities, build a competitor landscape, or check for code updates: 竞品分析 / 竞品 / competitor scan / analyze competitor / compare with X / latest competitor code. Not for market research without code (use deep-research).

AI 生成的概览

克隆并审计竞品代码仓库,生成带 file:line 引用的、基于证据的竞品情报。

功能
将竞品代码仓库克隆或更新到持久化工作区,并从配置文件、文档、入口点、实现代码、测试和变更日志中收集事实。它会撰写带引用的技术画像和竞品全景综述,涵盖定位、能力、优势、差距与机会,每项技术论断都附有 file:line 引用。它还附带一个用于管理竞品仓库(状态、发现、克隆、拉取)的 shell 脚本。
适用场景
适用于跟踪竞品、添加或审查竞品仓库、比较能力、构建竞品全景,或检查代码更新。它面向有代码支撑的竞品分析,而非没有代码的市场调研。
运行要求
需要 git 和网络访问以克隆或拉取仓库,并需要 GitHub CLI(gh)进行仓库发现。它附带一个可执行 shell 脚本,使用 COMPETITORS_BASE 工作区目录,并可能通过 SSH 或 HTTPS 访问 GitHub。

Competitors Analysis

Build competitor intelligence that can be shared, re-run, and audited later. This skill has two layers:

  1. Repository evidence: clone or update the competitor code under the durable competitors workspace, then cite facts from actual files and commits.
  2. Landscape synthesis: explain which product choices the evidence changes, including trade-offs and what would overturn the judgment. Keep positioning, pricing, strengths and gaps as supporting evidence.

This skill intentionally subsumes lightweight "competitor scan" workflows. A scan is useful for the landscape table, but it is not enough for technical conclusions.

Resolve the analysis target (read this first)

The executing agent resolves two separate inputs: the repository to analyze and the our-product context used for comparison. A repository URL identifies the first; a separately typed product name is not required to profile it.

  1. Honor the current request's explicit product/market and exclusions first. If the caller requests a standalone profile, do not add an our-product comparison.
  2. Otherwise, read the current project's AGENTS.md / CLAUDE.md and follow its product-contract or research entry to confirm the product and analysis scope. The caller's current project is valid context for this invocation. A directory basename alone is not enough; record the authoritative file used to identify it. A delegated caller should pass the project path and relevant entry when available.
  3. A supplied repository URL without a confirmed our-product context selects a standalone Profile. Continue repository analysis; omit comparison and opportunities specific to our product. A missing customer segment does not block code facts or sourced positioning from the repository's own docs.
  4. For Discover or Landscape, use the explicit request or confirmed current project to establish the scope. If comparison context remains unknown, complete any supplied repository profiles and report the exact missing context to the caller. An interactive host may ask only for the unresolved comparison input; a noninteractive fork reports it without blocking independent profiles.

Stop only when neither an analysis target nor an actionable current-project scope is available. Report that missing input to the caller. Do not invent a task, browse $COMPETITORS_BASE to choose an unrelated product, or start discovery from a self-generated market. A fork receiving neither a task request nor caller-bound project scope must stop; its inability to ask is not a reason to reject a supplied repository URL.

Entry Router

Resolve scope above before selecting a mode. A bare repository URL selects Profile, using the confirmed current project for comparison when available. Known competitors are optional for a scoped Discover request.

Use the user's wording to choose the path:

User intentModeWhat to do
"find competitors", "竞品有哪些", broad market queryDiscoverSearch GitHub and web sources, shortlist candidates, clone only relevant repositories
"add competitor <url>"IngestClone the repository, record remote + commit, then produce a first profile
A repository URL, "analyze competitor", "review this repo"ProfileUpdate or clone locally, read code, write a cited technical profile; compare with the confirmed current product when applicable
"compare", "landscape", "opportunities"LandscapeEnsure each competitor has a profile, then synthesize gaps and opportunities
"latest code", "有没有更新"UpdatePull/fetch existing competitors and report changed commits before analysis

Durable Source Layout

Use a durable workspace, not /tmp. The default base is:

bash
COMPETITORS_BASE="${COMPETITORS_BASE:-$HOME/workspace/competitors}"

Directory convention:

text
$COMPETITORS_BASE/└── {product-slug}/    ├── {owner-repo}/    └── ...

Use owner-repo for GitHub repositories so forks and similarly named projects do not collide. Derive product-slug from the explicitly named or authoritatively confirmed current product. If neither applies, use standalone for a supplied repository URL; this is a storage namespace, not an invented market. Reuse the matching product directory and clone after checking its remote. Do not browse other product directories to manufacture the analysis scope.

Preflight

For first ingestion or an explicit freshness/update request, establish these facts from commands, not memory:

bash
repo="$COMPETITORS_BASE/{product-slug}/{owner-repo}"test -d "$repo/.git"git -C "$repo" remote -vgit -C "$repo" fetch --all --prunegit -C "$repo" log -1 --format='%H%x09%cI%x09%s'

For synthesis or continuation, reuse verified profiles and their pinned commits. Confirm the matching remote and required objects locally; do not fetch or repeat unchanged checks merely because the context was compressed. Refresh only for requested freshness, changed inputs, missing evidence, or an unresolved concern. Record the analyzed commit rather than describing it as current upstream.

If the repository is missing, clone it first. Prefer SSH for GitHub when possible:

bash
mkdir -p "$COMPETITORS_BASE/{product-slug}"git clone --depth 1 <git-ssh-url> "$COMPETITORS_BASE/{product-slug}/{owner-repo}"

If SSH fails for a public repository, report the failure and retry with the repository's HTTPS URL only when that keeps the work moving.

Discovery Workflow

Use gh search repos for GitHub repository discovery. Search multiple query phrases; do not trust one keyword.

bash
gh search repos "product keywords" \  --limit 30 \  --archived=false \  --json fullName,url,description,stargazersCount,forksCount,openIssuesCount,language,pushedAt,updatedAt,defaultBranch

For each candidate, record:

FieldSource
Repository name and URLgh search repos / gh repo view
DescriptionGitHub API or README line citation after clone
ActivitypushedAt, latest commit, release notes if present
Stars/forks/issuesGitHub API with retrieval date
Why it is relevantuser's product scope + repository evidence

Clone only candidates that are relevant to the user's product or analysis goal. For broad markets, first present a shortlist with evidence and then analyze the strongest set.

Repository Fact Gathering

Read files in this order and capture exact sources:

  1. Project metadata: package.json, pyproject.toml, Cargo.toml, go.mod, or equivalent.
  2. README and docs: positioning, screenshots, installation, pricing links.
  3. Entry points: main, bin, scripts, src/, app/, packages/.
  4. Core implementation: renderer, parser, storage, export, sync, auth, API, or domain-specific modules.
  5. Tests and fixtures: they often reveal supported data structures and edge cases.
  6. Releases/changelog: current direction and recent changes.

Use nl -ba <file> or an editor with line numbers before citing. Every technical claim about implementation needs file:line evidence.

Landscape Workflow

Before synthesizing existing profiles, read references/landscape_synthesis.md [blocked]. Follow its evidence → causal explanation → product choice → counterexample/falsifier chain and its project-document continuation contract. A capability matrix or a list of features to borrow does not satisfy Landscape. A supported conclusion that no change is warranted is valid; do not manufacture a new direction.

Report Structure

For a single competitor, use references/profile_template.md. Record the current project's authoritative scope source when used. Without our-product context, omit its comparison section and keep opportunity judgments repository-specific.

For a landscape summary, use this structure:

markdown
# {Product} Competitor Landscape
## Decisions Changed By The EvidenceFor each material judgment: cited observations, causal explanation (inference),concrete choice and its cost, alternative explanation/counterexample, and theobservation that would overturn it. State scope and unresolved assumptions.
## Current Understanding And Next CheckLink the existing project research entry; retain accepted/rejected judgments,their evidence versions and failure conditions, and the next decision-bearing check.
## Source Register| Competitor | Local path | Remote | Commit | Retrieved ||---|---|---|---|---|
## Positioning| Competitor | User segment | Primary promise | Source ||---|---|---|---|
## Product And Technical Comparison| Dimension | Competitor A | Source | Competitor B | Source | Our product | Source ||---|---|---|---|---|---|---|
## Strengths| Competitor | Strength | Evidence | Why it matters ||---|---|---|---|
## Weaknesses And Gaps| Competitor | Gap | Evidence | Opportunity ||---|---|---|---|
## Opportunities| Opportunity | Evidence base | Product implication | Confidence ||---|---|---|---|
## Risks And Assumptions| Item | What is known | What still needs verification | Next check ||---|---|---|---|

Evidence Rules

Required

Claim typeRequired evidence
Dependency/framework/versionConfig file line citation
Feature supportREADME/docs line citation plus code citation when technical
Parser/export/storage behaviorCode line citation
Pricing/cloud-hosted claimOfficial page citation with retrieval date
Popularity/activityGitHub API/page citation with retrieval date
Opportunity judgmentCited observations, explicit confidence, labeled inference and scope, choice/trade-off, counterexample or alternative explanation, and falsifying check

Forbidden

Do not present unsupported technical claims as repository facts. Strategic inference is allowed when labeled and supported by the Landscape chain; words such as “可能 / likely” do not by themselves make a claim valid or invalid. Check what the sentence claims and its evidence, rather than banning a word:

PatternWhy
Inferred implementation presented as observed code behaviorJudgment cannot fill a missing code fact
"未公开", "未披露"Pretends to know disclosure status
"architecture, inferred from UI"Technical architecture must come from code
Unsourced numbersCannot be audited later

When an implementation or market fact is unavailable, write 待验证 and state the exact next check that would verify it. Do not promote an unresolved assumption into a requirement, claimed competitive advantage, or implementation authorization.

Output Quality Bar

Before finishing, run the checks in references/analysis_checklist.md:

  • Local repository exists under $COMPETITORS_BASE/{product-slug}/.
  • Remote URL and analyzed commit are recorded; freshness is explicit.
  • Each technical claim has a file:line citation.
  • Market facts have a source and retrieval date.
  • Landscape judgments explain a concrete choice, its trade-off and falsifier; facts and inference remain separate.
  • For project-backed analysis, new understanding is saved in the existing project research entry before a stage ends or context handoff; unchanged evidence is reused on continuation.
  • The final answer names gaps, opportunities, and risks without pretending they are code facts.

Script

Use scripts/update-competitors.sh as the starting point for durable competitor repository management:

bash
COMPETITORS_BASE="$HOME/workspace/competitors" \PRODUCT_NAME="{product-slug}" \./scripts/update-competitors.sh status
./scripts/update-competitors.sh discover "claude code viewer"./scripts/update-competitors.sh clone-url https://github.com/org/repo./scripts/update-competitors.sh pull

The script is a template. For a long-running product, copy it into that product's own repo or operations directory and fill the persistent competitor list.

Relationship To Product Analysis

product-analysis may invoke this skill for compare mode. Keep this skill focused on competitor discovery, repository evidence, and competitive synthesis. Do not turn it into a general product audit orchestrator.

来源与署名

来源:daymade/claude-code-skills位于competitors-analysis提交2c6d263

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