Token导航 LogoToken导航TokenDH.com
研究检索需要联网github未标认证来源可访问许可证需确认审计通过

feature-radar特征雷达

Agent Skill

feature-radar 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。

总安装

306

周安装

13

GitHub Stars

12

下载量

107
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:feature-radar(特征雷达)
来源仓库:https://github.com/runkids/feature-radar
仓库路径:skills/feature-radar
安装命令:
npx skills add https://github.com/runkids/feature-radar --skill feature-radar
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/runkids/feature-radar --skill feature-radar

简介

发现并评估新功能机会,建立系统化探索机制。

  • 支持多阶段流程与路由规则,聚焦高潜力方向。
  • 需用户提供输入或选择机会编号,输出可行性分析。
  • 适用于创新团队持续扫描市场与技术趋势。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • feature-radar 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Feature Discovery & Prioritization

Mode Routing

ArgumentModePhases
(none) or fullfull1-6 (all)
quickquick1-3 only
evaluateevaluatereconciliation → 5-6 (skip 1-3)
#N (e.g. #2)focusRead opportunity N → Phase 5 (single item) → Phase 6

Route rules:

  • full: Follow normal workflow (Phase 1-6).
  • quick: Execute Phase 1-3, then skip to Completion Summary.
  • evaluate: Run "Subsequent Runs" reconciliation (steps 1-2), then jump directly to Phase 5-6.
  • focus (#N): Read .feature-radar/opportunities/{N}-*.md. If not found, list available opportunities and ask user to pick. Then run Phase 5 for that single opportunity, followed by Phase 6.

State the detected mode before proceeding: "Mode: {mode}"

Bootstrap (First Run)

If .feature-radar/ does not exist at the project root, create it:

.feature-radar/
├── base.md
├── archive/
├── opportunities/
├── specs/
└── references/

Then generate base.md by completing the following:

  1. Detect stack — read go.mod, package.json, Cargo.toml, pyproject.toml. Follow imports to understand the dependency graph. Don't just read the config — understand the architecture.
  2. Map structure — list top-level directories. For each, read at least one file to understand its purpose. Identify: entry points, core logic, tests, docs, configuration.
  3. Extract features — scan exports, commands, API routes, or public functions. Read the implementations, not just the names. Understand what each feature actually does.
  4. Find inspiration sources — read README, CONTRIBUTING, docs/ for related projects and communities
  5. Verify with user — present the generated base.md and ask: "Does this accurately describe your project?"

After presenting base.md, support iterative refinement per references/WORKFLOW-PATTERNS.md.

base.md Template

Generate base.md following the structure defined in references/SPEC.md (sections 2-5). Read references/SPEC.md first, then fill {placeholders} with project-specific analysis.

Key sections to generate:

  • Project Context — detected language, architecture, key feature areas, core philosophy, inspiration sources
  • Feature Inventory — implemented features table + value & innovation landscape table
  • Tracking Summary — counts per category (start at 0)
  • Directory Layout — tree view
  • Classification Rules — per references/SPEC.md §3.2-3.5
  • Maintenance Workflow — feature flow between directories
  • Archive Extraction Checklist — per references/SPEC.md §4.3

After creating the directory, ask the user: "Should I add .feature-radar/ to .gitignore?" (Recommended if the tracking data is internal and shouldn't be committed.)

Subsequent Runs

On subsequent runs (.feature-radar/ already exists):

  1. Read existing base.md — do NOT overwrite
  2. Run reconciliation per references/DEEP-READ.md steps 2-6
  3. Proceed to Mode Routing

Behavioral Directives

Additional directives for this skill:

  • Do not skip phases outside mode rules — follow the Mode Routing and Phase execution HARD-GATEs. For conditional phases, state the skip condition check result before deciding to skip.
  • Reconcile on subsequent runs — see "Subsequent Runs" section above.

Workflow

Execute phases in order.

full mode (default):

  • Phase 1-3: ALWAYS execute.
  • Phase 4: Skip ONLY if no documentation directory exists.
  • Phase 5-6: Skip ONLY if no open opportunities exist.

quick mode:

  • Phase 1-3: Execute. Stop after Phase 3 → Completion Summary.

evaluate mode:

  • Phase 1-4: Skip (reconciliation already done in Subsequent Runs).
  • Phase 5-6: Execute. Skip ONLY if no open opportunities exist.

focus mode (#N):

  • Phase 1-4: Skip.
  • Phase 5: Evaluate the single targeted opportunity only.
  • Phase 6: Propose for that opportunity only.

For each phase completed, state what was produced before moving to the next phase.

Phase 1: Scan & Classify

  1. Read source files (feature ideas, user feedback, ecosystem observations, creative proposals, issue trackers)
  2. Cross-reference each entry against the codebase
  3. Classify:

- Done / Covered / Rejected / N/A → archive - Open / Partially Done → opportunity - Cross-cutting pattern → specs - External observation → references

Checkpoint: Present classification results using this format, then ask "Continue to Phase 2?"

Phase 1 complete:
| Classification | Count | Items |
|---------------|-------|-------|
| Archive       | {n}   | {list} |
| Opportunity   | {n}   | {list} |
| Spec          | {n}   | {list} |
| Reference     | {n}   | {list} |

Phase 2: Archive Completed Features

For each archive candidate:

  1. Create archive/{nn}-{slug}.md
  2. Run the Archive Extraction Checklist (mandatory):

- Extract learnings → specs/ - Derive new opportunities → opportunities/ - Update references → references/ - Update ecosystem trends → specs/ecosystem-trends.md

  1. Mark the entry as processed in the source (strikethrough + status)

Phase 3: Organize Open Opportunities

  1. Create opportunities/{nn}-{slug}.md
  2. Assess Impact and Effort realistically
  3. Write an honest "Our Position" — do we actually want this?

Checkpoint: Present opportunities using this format, then ask "Continue to Phase 4?"

Phase 3 complete: {n} opportunities organized
| # | Opportunity | Impact | Effort | Our Position |
|---|------------|--------|--------|-------------|
| {nn} | {title} | High/Med/Low | High/Med/Low | {1-line stance} |

Phase 4: Gap Analysis

Find implemented features that docs don't mention:

  1. Scan documentation for coverage of implemented features
  2. For each gap: which feature, which page should cover it, standalone guide or section

Phase 5: Evaluate & Prioritize

CriterionQuestion
Real user demandAre users actually asking for this?
Value upliftDoes this meaningfully improve the user experience or unlock new possibilities?
Innovation potentialDoes this introduce a creative breakthrough or unique approach?
Effort / impact ratioIs the cost justified by the benefit?
Architectural fitDoes it align with our core philosophy?
Ecosystem timingIs the ecosystem ready?

Rank into tiers:

  • Build next: High value + strong demand or innovation potential + reasonable effort
  • Build soon: Good value + moderate demand
  • Monitor: Low demand or premature
  • Skip: Conflicts with philosophy or negligible value

Checkpoint: Present tier ranking using this format, then ask "Continue to Phase 6 (Propose)?"

Phase 5 complete:
| Tier | # | Opportunity | Demand | Value | Innovation | Effort/Impact | Fit | Timing |
|------|---|------------|--------|-------|------------|--------------|-----|--------|
| Build next | {nn} | {title} | {H/M/L} | {H/M/L} | {H/M/L} | {H/M/L} | {H/M/L} | {H/M/L} |
| Build soon | ... | | | | | | |
| Monitor    | ... | | | | | | |
| Skip       | ... | | | | | | |

Phase 6: Propose & Decide

For each "Build next" feature (top 1-3), present a proposal card:

### {nn}. {Title}
**Pitch**: {One paragraph — what value does this create?}
**Effort**: {N days} — {brief justification}
**Key decisions**:
- {decision 1}
- {decision 2}

After all cards, ask: "Should we enter plan mode for [feature]?"

Completion Summary

Follow the template in references/DIRECTIVES.md, with skill name "Complete" and an additional line: Top recommendation: {feature name} — {one-line pitch}

Guardrails

  • Don't copy blindly. Evaluate fit with YOUR architecture and users, not someone else's.
  • Don't overcount. 1 issue with no comments = weak signal.
  • Don't undercount. Multiple independent asks = strong signal.
  • Chase value, not features. Ask "what problem does this solve?" before "what does this do?"
  • Be honest about effort. Low < 1 day. Medium 1-3 days. High 1+ week.
  • Challenge deferred items. "Deferred" ≠ "forever" — re-evaluate each session.
  • Think creatively. The best features aren't always the obvious ones — look for novel angles.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.55%
按下载量换算39

Claude

30.31%
按下载量换算32

Cursor

20.27%
按下载量换算22

Gemini CLI

10.61%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills