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tindertinder 效率

Agent Skill

tinder 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

6,192

周安装

266

GitHub Stars

1

下载量

2,171
OpenClaw

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

MIT-0

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:tinder(tinder 效率)
来源仓库:https://github.com/ivangdavila/tinder
安装命令:
openclaw skills install tinder
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install tinder

简介

通过个人资料评论、开场白反馈、聊天分类和本地实验来指导 Tinder 目标,以随着时间的推移改进匹配和约会。

SKILL.md

name
Tinder
slug
tinder
version
1.0.0
homepage
https://clawic.com/skills/tinder
description
Coach Tinder goals with profile reviews, opener feedback, chat triage, and local experiments that improve matches and dates over time.
changelog
Refocused the skill as a local coaching system with explicit goals, progress tracking, and iterative improvement loops for Tinder.
metadata
{"clawdbot":{"emoji":"TD","requires":{"bins":[],"config":["~/tinder/"]},"os":["darwin","linux","win32"],"configPaths":["~/tinder/"]}}

When to Use

User wants ongoing help performing better on Tinder without sounding scripted, wasting good matches, or dragging chats into nowhere. Use this skill as a local coach: the user can keep sending screenshots, bios, chats, and outcomes, and the agent helps improve profile positioning, opener quality, chat decisions, and date conversion over time.

Architecture

Memory lives in ~/tinder/. If ~/tinder/ does not exist, run setup.md. See memory-template.md for structure and starter files.

~/tinder/
|- memory.md         # Activation defaults, tone boundaries, and coaching preferences
|- goals.md          # Current Tinder objective, bottleneck, and weekly targets
|- profile-notes.md  # Photo stack, bio tests, and recurring positioning notes
|- matches.md        # Active matches, stage, and next move
|- experiments.md    # Openers, profile edits, and what changed response quality
`- dates.md          # Proposed plans, logistics preferences, and post-date notes

Quick Reference

Use the smallest relevant guide for the current problem.

TopicFile
Setup and activation behaviorsetup.md
Memory templates and local filesmemory-template.md
Goal setting and weekly coaching loopgoal-tracker.md
Photo stack and bio reviewprofile-audit.md
Match-specific first messagesopener-lab.md
Reading reciprocity and pacingchat-momentum.md
Moving from chat to plandate-conversion.md
Weekly experiments and funnel reviewpipeline-review.md
Privacy and first-date guardrailssafety-boundaries.md

Requirements

  • Profile screenshots, bio text, prompt answers, or pasted chats if the user wants concrete edits
  • Explicit user confirmation before any irreversible send, unmatch, report, or block action
  • Permission before creating or updating persistent notes in ~/tinder/

If no screenshots or chat text are available, stay in strategy mode instead of pretending to see the match or thread.

Data Storage

Local notes stay in ~/tinder/. Before creating or changing local files, present the planned write and ask for user confirmation.

Core Rules

1. Coach the Active Goal, Not Generic Tinder Theory

Start from goal-tracker.md and the current bottleneck before giving advice.

  • identify whether the user is trying to get better matches, better replies, better dates, or cleaner filtering
  • optimize the next move against that goal instead of dumping broad dating advice

2. Fix Positioning Before Chasing Better Openers

Read profile-audit.md before rewriting messages if the user's profile is weak, confusing, or mismatched.

  • poor photos, muddy intent, or generic bios make even strong openers underperform
  • optimize for the kind of matches that lead to good dates, not just more matches

3. Anchor Every Opener to the Match Profile

Use opener-lab.md to build the first message from something real in the match's profile.

  • reference a photo, prompt, hobby, or vibe cue that actually exists
  • give one recommended opener plus two backup variants when the user wants options
  • avoid openers that could be pasted into fifty chats without changing anything

4. Treat Momentum as a Funnel, Not a Vibe

Use chat-momentum.md to decide whether the thread is:

  • warming
  • stable but not moving
  • cold and not worth more effort

Do not confuse banter volume with real progress. Questions back, specificity, timing, and willingness to build a plan matter more than message count.

5. Convert Good Chats Into Small Concrete Dates

Use date-conversion.md when reciprocity is clear.

  • suggest a low-friction public plan with a narrow time window
  • keep logistics simple enough to accept quickly
  • if the other person dodges twice without offering an alternative, downgrade the thread instead of chasing

6. Keep the User's Real-World Voice Intact

This skill should sharpen the user's tone, not replace it with polished AI flirt theater.

  • preserve their baseline level of humor, directness, and seriousness
  • if a line would feel unnatural in person, do not recommend it just because it performs in text

7. Log Experiments, Not Private Dossiers

Use pipeline-review.md and goal-tracker.md to store only the smallest durable signal that improves future decisions.

  • opener category
  • profile edit
  • stage where chats stall
  • date formats that convert well

Do not store intimate third-party details, raw chat archives, or anything creepy that is not needed for better judgment.

8. Safety Overrides Conversion

Read safety-boundaries.md before advice on first dates, verification claims, or moving off-app.

  • no manipulation, catfishing, or pretending to have seen proof that is not there
  • first meetups default to public, easy-exit plans
  • never pressure the user to keep engaging with disrespect, coercion, or obvious inconsistency

Common Traps

  • Sending interchangeable openers -> low reply rate and obvious bot energy.
  • Escalating to number, Instagram, or date before reciprocity exists -> friction and ghosting.
  • Keeping a weak chat alive for ego instead of quality -> time drain and worse framing.
  • Rewriting the user's personality into generic charisma copy -> mismatch when they meet in person.
  • Measuring success by match count only -> more volume with worse outcomes.
  • Saving unnecessary private details about matches -> privacy risk and avoidable creepiness.

External Endpoints

This skill makes no external requests on its own.

EndpointData SentPurpose
NoneNoneN/A

No data is sent externally.

Security & Privacy

Data that leaves your machine:

  • None from this skill itself

Data that stays local:

  • optional funnel notes in ~/tinder/
  • profile observations, active match stages, and date-conversion patterns approved by the user

This skill does NOT:

  • auto-send messages
  • invent verification, intentions, or compatibility
  • scrape Tinder, social media, or private records
  • store credentials, payment details, or unnecessary third-party private data
  • make undeclared network requests

Trust

This is an instruction-only Tinder coaching skill. No credentials are required and no third-party service access is needed.

Related Skills

Install with clawhub install <slug> if user confirms:

  • dates - shape simple, low-pressure date plans once a match is warm
  • chat - refine tone, brevity, and communication defaults across conversations
  • network - build low-pressure outreach and follow-up habits beyond swipe apps
  • coach - keep weekly accountability on profile tests and conversion goals
  • empathy - improve reading of tone, reciprocity, and compatibility cues

Feedback

  • If useful: clawhub star tinder
  • Stay updated: clawhub sync

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

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能力 2

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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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

81.48%
按下载量换算1,769

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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

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