General
tldr - Claude MCP Skill
/tldr
SEO Guide: Enhance your AI agent with the tldr tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to /tldr... Download and configure this skill to unlock new capabilities for your AI workflow.
Documentation
SKILL.md# /tldr Generate concise, actionable summaries of complex topics, documentation, codebases, or discussions. Focus on essential information and immediate next steps. ## Usage ``` /tldr [topic, document, codebase, or discussion] ``` ## Summary Framework ### Key Principles - **Brevity**: Maximum 5 bullet points per section - **Actionability**: Focus on what to do, not just what to know - **Hierarchy**: Most important information first - **Clarity**: Use simple, direct language - **Context**: Include just enough background for understanding ### Structure Template ```markdown # TL;DR: [Topic] ## 🎯 Bottom Line [1-2 sentences with the most critical takeaway] ## ✅ Key Points - [Most important fact/decision] - [Second most important point] - [Third critical element] - [Supporting detail if needed] - [Context or constraint] ## 🚀 Next Steps 1. [Immediate action - what to do first] 2. [Follow-up action - what to do next] 3. [Future consideration - what to plan for] ## ⚠️ Critical Notes - [Important warning or constraint] - [Key dependency or requirement] - [Risk or limitation to be aware of] ## 📚 Resources - [Essential link or document] - [Key person to contact] - [Tool or system to use] ``` ## Context-Specific Formats ### Code/Technical TL;DR ```markdown # TL;DR: [Component/System] ## What It Does [One sentence description of purpose] ## Key Components - [Main module/service]: [What it handles] - [Secondary component]: [Its role] - [Integration point]: [How it connects] ## To Get Started 1. [Setup/installation step] 2. [Configuration requirement] 3. [First thing to run/test] ## Common Issues - [Most frequent problem and fix] - [Performance consideration] ## Who to Ask - [Subject matter expert] - [Documentation location] ``` ### Meeting/Discussion TL;DR ```markdown # TL;DR: [Meeting Topic] ## Decisions Made - [Key decision 1] - [Key decision 2] ## Action Items - [Person]: [Task by date] - [Person]: [Task by date] ## Open Questions - [Unresolved issue requiring follow-up] - [Decision pending more information] ## Next Meeting - [Date/time] - [Main agenda item] ``` ### Documentation TL;DR ```markdown # TL;DR: [Document Name] ## Main Message [Core thesis or argument in one sentence] ## Key Takeaways - [Most important insight] - [Critical fact or data point] - [Actionable recommendation] ## Implementation 1. [First step to apply this knowledge] 2. [How to measure success] ## Skip This If - [When this doesn't apply] - [Prerequisites not met] ``` ### Project/Feature TL;DR ```markdown # TL;DR: [Project Name] ## Goal [What we're trying to achieve] ## Status [Current phase and % complete] ## Key Risks - [Biggest concern] - [Timeline risk] ## Need From You - [Specific ask or decision needed] - [Resource requirement] ## Timeline - - ``` ## Summarization Techniques ### Information Hierarchy 1. **Critical**: Must know for immediate action 2. **Important**: Affects decision-making 3. **Useful**: Provides helpful context 4. **Interesting**: Nice to know but not essential ### The 5W+H Filter - **Who**: Key people/stakeholders - **What**: Core facts/decisions - **When**: Critical timelines - **Where**: Location/context constraints - **Why**: Essential reasoning - **How**: Implementation approach ### Progressive Disclosure ```markdown ## 30-Second Version [One paragraph with absolute essentials] ## 2-Minute Version [Add key details and context] ## 5-Minute Version [Include important nuances and background] ``` ## Examples by Use Case ### Codebase Analysis TL;DR ```markdown # TL;DR: Payment Service ## What It Does Processes credit card payments through Stripe with retry logic and fraud detection. ## Key Files - `payment_processor.rs`: Main business logic - `stripe_client.rs`: External API integration - `fraud_detector.rs`: Risk assessment rules ## To Debug Issues 1. Check logs in `/var/log/payments/` 2. Verify Stripe webhook status 3. Look for fraud blocks in dashboard ## Critical Dependencies - Stripe API (payment processing) - Redis (rate limiting) - Postgres (transaction history) ## Contact: Sarah Chen (payment-team@company.com) ``` ### Architecture Decision TL;DR ```markdown # TL;DR: Database Choice - ScyllaDB ## Decision Migrate from Postgres to ScyllaDB for event storage. ## Why - 10x better write performance at scale - Native time-series support - Compatible with Cassandra tools ## Next Steps 1. Proof of concept by Jan 15 2. Migration plan by Feb 1 3. Production rollout Q2 ## Risks - Team learning curve (2-3 weeks) - Data migration complexity - Operational tooling gaps ## Resources - ScyllaDB docs: [link] - POC repository: [link] - Migration champion: Alex Kim ``` ### Bug Investigation TL;DR ```markdown # TL;DR: Login Timeout Bug ## Problem Users getting logged out after 5 minutes instead of 30 minutes. ## Root Cause JWT expiration misconfigured in auth service config. ## Fix Applied Changed `token_expiry` from 300s to 1800s in `auth.yaml` ## Prevention - Added integration test for token expiry - Documented config in runbook - Set up monitoring alert for short sessions ## Status: RESOLVED (deployed to prod 2024-01-15) ``` ### Research Summary TL;DR ```markdown # TL;DR: State Management Options ## Recommendation Use Zustand for client state, React Query for server state. ## Why - Simpler than Redux (less boilerplate) - Better TypeScript support - Proven at scale (used by Vercel, etc.) ## Implementation 1. Replace Redux store with Zustand (1 week) 2. Add React Query for API calls (1 week) 3. Remove unnecessary middleware (2 days) ## Tradeoffs - ✅ Faster development, fewer bugs - ❌ Team relearning curve - ❌ Less ecosystem/tooling than Redux ``` ## Quality Checklist ### Essential Elements - [ ] Can be read in under 2 minutes - [ ] Includes concrete next steps - [ ] Highlights biggest risks/concerns - [ ] Provides contact info or resources - [ ] Uses bullet points and short sentences ### Common Mistakes to Avoid - ❌ Including too much background/context - ❌ Using jargon without explanation - ❌ Listing facts without actionable conclusions - ❌ Burying the most important information - ❌ Making it longer than the original content ### Audience Considerations - **Executive**: Focus on business impact and timeline - **Technical**: Include implementation details and risks - **Operational**: Emphasize process and responsibilities - **Cross-functional**: Balance technical and business context ## Integration with Other Commands - Use after `/investigate` to summarize findings - Apply to `/deep-dive` outputs to extract key insights - Follow `/think` sessions to distill conclusions - Create TL;DR versions of `/elaborate` content - Summarize `/dependencies` analysis for stakeholders The goal is to make complex information immediately accessible and actionable for busy stakeholders who need to make quick, informed decisions.
Signals
Information
- Repository
- kamui-fin/readspace
- Author
- kamui-fin
- Last Sync
- 3/12/2026
- Repo Updated
- 2/16/2026
- Created
- 1/16/2026
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