[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-884ea788630a4231-building-long-running-ai-agents-harnesses-and-adve-summary":3,"summaries-facets-categories":142,"summary-related-884ea788630a4231-building-long-running-ai-agents-harnesses-and-adve-summary":4021},{"id":4,"title":5,"ai":6,"body":13,"categories":97,"created_at":99,"date_modified":99,"description":90,"extension":100,"faq":99,"featured":101,"kicker_label":99,"meta":102,"navigation":121,"path":122,"published_at":123,"question":99,"scraped_at":124,"seo":125,"sitemap":126,"source_id":127,"source_name":128,"source_type":129,"source_url":130,"stem":131,"tags":132,"thumbnail_url":137,"tldr":138,"tweet":139,"unknown_tags":140,"__hash__":141},"summaries\u002Fsummaries\u002F884ea788630a4231-building-long-running-ai-agents-harnesses-and-adve-summary.md","Building Long-Running AI Agents: Harnesses and Adversarial Loops",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",8896,1234,5605,0.004075,{"type":14,"value":15,"toc":89},"minimark",[16,21,25,29,32,55,59,62,82,86],[17,18,20],"h2",{"id":19},"the-evolution-of-agentic-longevity","The Evolution of Agentic Longevity",[22,23,24],"p",{},"Building agents capable of multi-hour or multi-day tasks requires moving past the limitations of simple, single-shot prompting. As models have evolved from Claude 3.7 to 4.6, the focus has shifted from basic bash command execution to complex, multi-step application development. The core challenge is managing context: as sessions lengthen, models suffer from 'context rot' (loss of coherence) and 'context anxiety' (rushing to finish as the window closes).",[17,26,28],{"id":27},"the-adversarial-harness-pattern","The Adversarial Harness Pattern",[22,30,31],{},"Rather than relying on an agent to self-evaluate—which often leads to sycophancy or 'rubber-stamping'—the most effective pattern is an adversarial 'generator-critic' loop. This mimics Generative Adversarial Networks (GANs).",[33,34,35,43,49],"ul",{},[36,37,38,42],"li",{},[39,40,41],"strong",{},"The Generator:"," Focused solely on building features.",[36,44,45,48],{},[39,46,47],{},"The Critic:"," A separate agent tasked with harsh, objective evaluation using tools like Playwright to interact with the live application.",[36,50,51,54],{},[39,52,53],{},"The Advantage:"," It is significantly easier to tune a model to be a harsh critic than to force a generator to be self-critical. If the generator fails to meet the rubric, the harness discards the work and restarts, preventing the 'patching' of fundamentally flawed code.",[17,56,58],{"id":57},"managing-state-and-planning","Managing State and Planning",[22,60,61],{},"Long-running agents fail when they lack a persistent 'source of truth.'",[33,63,64,70,76],{},[36,65,66,69],{},[39,67,68],{},"Persistent Artifacts:"," Use JSON files for progress tracking rather than Markdown, as models are less likely to accidentally overwrite structured data.",[36,71,72,75],{},[39,73,74],{},"Structured Handoffs:"," Break large tasks into a series of independent, testable 'sprint contracts.' Each task runs in a fresh context window to reset the model's state, preventing the accumulation of errors.",[36,77,78,81],{},[39,79,80],{},"Rubrics for Subjectivity:"," You can grade 'taste' and design quality by defining a strict rubric (e.g., originality, craft, functionality). By providing few-shot examples of high-quality output, the evaluator's taste can be calibrated to match the developer's standards.",[17,83,85],{"id":84},"the-debugging-loop","The Debugging Loop",[22,87,88],{},"Treat your agent's execution traces as your primary debugging loop. When an agent fails, don't just tweak the prompt; examine the harness. The goal is to build a system where the harness handles the 'boring' orchestration (environment setup, smoke tests, git commits), allowing the model to focus entirely on the logic. As models improve, parts of the harness will become redundant. The best builders are those who constantly evaluate which parts of their scaffolding can be deleted as the base model's capabilities expand.",{"title":90,"searchDepth":91,"depth":91,"links":92},"",2,[93,94,95,96],{"id":19,"depth":91,"text":20},{"id":27,"depth":91,"text":28},{"id":57,"depth":91,"text":58},{"id":84,"depth":91,"text":85},[98],"AI & LLMs",null,"md",false,{"content_references":103,"triage":116},[104,109,112],{"type":105,"title":106,"url":107,"context":108},"tool","Claude Code","https:\u002F\u002Fclaude.ai\u002Fcode","mentioned",{"type":105,"title":110,"url":111,"context":108},"Playwright","https:\u002F\u002Fplaywright.dev\u002F",{"type":113,"title":114,"url":115,"context":108},"other","SWE-bench","https:\u002F\u002Fwww.swebench.com\u002F",{"relevance":117,"novelty":118,"quality":118,"actionability":118,"composite":119,"reasoning":120},5,4,4.35,"Category: AI & LLMs. The article provides in-depth strategies for building long-running AI agents, addressing specific pain points like context management and evaluation methods. It introduces the adversarial 'generator-critic' architecture, which is a novel approach that enhances the coherence of AI agents over extended tasks.",true,"\u002Fsummaries\u002F884ea788630a4231-building-long-running-ai-agents-harnesses-and-adve-summary","2026-05-18 13:00:06","2026-05-18 15:00:16",{"title":5,"description":90},{"loc":122},"884ea788630a4231","AI Engineer","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=mR-WAvEPRwE","summaries\u002F884ea788630a4231-building-long-running-ai-agents-harnesses-and-adve-summary",[133,134,135,136],"agents","prompt-engineering","automation","ai-llms","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FmR-WAvEPRwE\u002Fhqdefault.jpg","To build agents that run for hours without losing coherence, move beyond single-session loops. Use adversarial 'generator-critic' architectures, structured handoffs, and persistent state files to maintain focus and quality over long horizons.","This talk from Anthropic engineers outlines the architectural shift from relying on model intelligence alone to building robust \"harnesses\" that enable long-running agent tasks. They argue that instead of fighting context rot or self-evaluation bias, developers should implement structured handoffs, adversarial evaluator agents, and testable sprint contracts to maintain coherence over multi-hour 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The Moony failure—exhaustive but unprioritized research—treats breakthroughs and slop equally. Fix with editorial hierarchy: define your 'important' (e.g., what fits your content pillars this week) before building, shifting from retrieval (Google-style) to curation (Wikipedia-style).",[22,4041,4042],{},"Wormtail blindly optimizes metrics, triggering Goodhart's Law ('When a measure becomes a target, it ceases to be a good measure'). Examples: boat-racing agent spins for points; competitor monitor flags viral hype instead of signal. Reward misspecification (Stuart Russell) arises because values ≠ metrics. Solution: constraints on refusals—what you'd never produce or flag, encoding moral flexibility limits.",[17,4044,4046],{"id":4045},"balance-personality-without-sacrificing-utility","Balance Personality Without Sacrificing Utility",[22,4048,4049],{},"Padfoot overcorrects with excessive voice, turning research into opinion pieces. Humans treat persona cues as people (Media Equation, Clifford Nass), but excessive anthropomorphism hits the uncanny valley of mind, eroding trust. Fix: let voice shape communication, not content—protect core function with boundaries.",[22,4051,4052],{},"Prongs succeeds via bounded rationality (Herbert Simon's satisficing): (1) specific job (e.g., 'Scan sources weekly, rank 5 angles by content fit'); (2) defensible POV (signal vs. noise for your work); (3) handoff clarity (stops at briefing, no overreach). Combines knowledge without overload, loyalty with judgment, personality in dose.",[17,4054,4056],{"id":4055},"instill-intentions-with-refusal-and-embarrassment-tests","Instill Intentions with Refusal and Embarrassment Tests",[22,4058,4059],{},"Agents need beliefs (world knowledge), desires (goals), and intentions (committed plans excluding alternatives). Test readiness: (1) 'What would it never say\u002Frefuse?' (taste constraint); (2) 'What embarrasses it?' (e.g., surfacing generic AI news or misfit angles). Without answers, it's a costumed search engine. Agents must close after output—like 'Mischief managed'—avoiding endless generation.",{"title":90,"searchDepth":91,"depth":91,"links":4061},[4062,4063,4064],{"id":4035,"depth":91,"text":4036},{"id":4045,"depth":91,"text":4046},{"id":4055,"depth":91,"text":4056},[],{},"\u002Fsummaries\u002F4-ai-agent-failures-and-marauder-s-map-fixes-summary","2026-04-08 21:21:17",{"title":4024,"description":90},{"loc":4067},"eebd2fc3e5afb02b","Robots Ate My Homework","article","https:\u002F\u002Funknown","summaries\u002F4-ai-agent-failures-and-marauder-s-map-fixes-summary",[133,134,136],"AI agents fail without encoded taste: prioritize via editorial hierarchy (Moony), add refusals to avoid Goodhart's Law (Wormtail), dose personality lightly (Padfoot), bound jobs clearly (Prongs). Ask: What would it never say? What embarrasses it?",[136],"mqzuBKGM5cwLq2Z4rw-265gUIeZ4-ltZTik2pqXp8H8",{"id":4081,"title":4082,"ai":4083,"body":4088,"categories":4119,"created_at":99,"date_modified":99,"description":90,"extension":100,"faq":99,"featured":101,"kicker_label":99,"meta":4120,"navigation":121,"path":4132,"published_at":4133,"question":99,"scraped_at":4134,"seo":4135,"sitemap":4136,"source_id":4137,"source_name":4138,"source_type":4073,"source_url":4139,"stem":4140,"tags":4141,"thumbnail_url":99,"tldr":4143,"tweet":99,"unknown_tags":4144,"__hash__":4145},"summaries\u002Fsummaries\u002Faee75443996a26db-google-shifts-ai-strategy-toward-autonomous-agents-summary.md","Google Shifts AI Strategy Toward Autonomous Agents with Gemini 3.5 Flash",{"provider":7,"model":8,"input_tokens":4084,"output_tokens":4085,"processing_time_ms":4086,"cost_usd":4087},6270,583,2959,0.002442,{"type":14,"value":4089,"toc":4114},[4090,4094,4097,4101,4104,4107,4111],[17,4091,4093],{"id":4092},"the-shift-to-agentic-workflows","The Shift to Agentic Workflows",[22,4095,4096],{},"Google is moving away from the chatbot-centric paradigm toward an agentic model where AI acts as an autonomous worker. Gemini 3.5 Flash is designed specifically for this, prioritizing low latency and high-speed execution to handle multi-step, long-running processes. Unlike traditional chatbots that wait for user prompts, these agents can plan, iterate, and execute complex pipelines—such as building an operating system from scratch—with minimal human intervention.",[17,4098,4100],{"id":4099},"technical-architecture-and-performance","Technical Architecture and Performance",[22,4102,4103],{},"Gemini 3.5 Flash is optimized for speed, operating four times faster than previous frontier models, with a specialized version achieving 12 times faster performance. This speed is critical for agentic systems where multiple sub-agents must run concurrently to complete a task.",[22,4105,4106],{},"Google is pairing this model with \"Antigravity 2.0,\" a dedicated agent-first development platform and IDE. This environment provides a native space for agents to live and execute code. The company envisions a tiered architecture where a more powerful model (the forthcoming 3.5 Pro) acts as the \"orchestrator\" or \"planner,\" delegating specific sub-tasks to the faster, more efficient 3.5 Flash for execution.",[17,4108,4110],{"id":4109},"practical-application-and-safety","Practical Application and Safety",[22,4112,4113],{},"Beyond development, the model is being deployed for enterprise automation, such as multi-week fintech workflows and complex data analysis. While the agents are designed to run autonomously for hours, they are programmed to pause and request human input at critical decision points or when encountering permission barriers. To mitigate risks associated with autonomous systems, Google has implemented enhanced cyber and CBRN (Chemical, Biological, Radiological, and Nuclear) safeguards, aiming for more nuanced engagement with sensitive topics rather than simple refusal.",{"title":90,"searchDepth":91,"depth":91,"links":4115},[4116,4117,4118],{"id":4092,"depth":91,"text":4093},{"id":4099,"depth":91,"text":4100},{"id":4109,"depth":91,"text":4110},[98],{"content_references":4121,"triage":4128},[4122,4124,4126],{"type":105,"title":4123,"context":108},"Gemini 3.5 Flash",{"type":105,"title":4125,"context":108},"Antigravity 2.0",{"type":105,"title":4127,"context":108},"Gemini Spark",{"relevance":117,"novelty":118,"quality":118,"actionability":4129,"composite":4130,"reasoning":4131},3,4.15,"Category: AI & LLMs. The article discusses Google's shift to autonomous agents, which is highly relevant for product builders interested in AI engineering and automation. It provides insights into the technical architecture and potential applications of Gemini 3.5 Flash, though it lacks detailed actionable steps for implementation.","\u002Fsummaries\u002Faee75443996a26db-google-shifts-ai-strategy-toward-autonomous-agents-summary","2026-05-19 17:51:30","2026-05-19 19:00:38",{"title":4082,"description":90},{"loc":4132},"aee75443996a26db","TechCrunch — AI","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F05\u002F19\u002Fwith-gemini-3-5-flash-google-bets-its-next-ai-wave-on-agents-not-chatbots\u002F","summaries\u002Faee75443996a26db-google-shifts-ai-strategy-toward-autonomous-agents-summary",[133,135,4142,136],"coding","Google’s release of Gemini 3.5 Flash signals a strategic pivot from conversational chatbots to autonomous, agentic workflows capable of executing complex, long-running tasks like software development.",[136],"Ml10go1GoXcTvyQTeXA6PElJfokRJrSjz_npfUfJUVc",{"id":4147,"title":4148,"ai":4149,"body":4154,"categories":4221,"created_at":99,"date_modified":99,"description":90,"extension":100,"faq":99,"featured":101,"kicker_label":99,"meta":4222,"navigation":121,"path":4236,"published_at":4237,"question":99,"scraped_at":4238,"seo":4239,"sitemap":4240,"source_id":4241,"source_name":4242,"source_type":129,"source_url":4243,"stem":4244,"tags":4245,"thumbnail_url":4247,"tldr":4248,"tweet":4249,"unknown_tags":4250,"__hash__":4251},"summaries\u002Fsummaries\u002Ffbbc572df621856a-building-enterprise-ready-ai-agents-with-adk-2-0-summary.md","Building Enterprise-Ready AI Agents with ADK 2.0",{"provider":7,"model":8,"input_tokens":4150,"output_tokens":4151,"processing_time_ms":4152,"cost_usd":4153},8646,802,3903,0.0033645,{"type":14,"value":4155,"toc":4215},[4156,4160,4163,4167,4170,4184,4187,4191,4194,4208,4212],[17,4157,4159],{"id":4158},"the-architecture-of-enterprise-ready-agents","The Architecture of Enterprise-Ready Agents",[22,4161,4162],{},"Building production-grade agents requires moving beyond simple prompt-response loops. The Agent Development Kit (ADK) 2.0, an open-source framework from Google, provides a structured approach to building these systems. The core architecture relies on decoupling the agent's \"brain\" (the LLM, such as Gemini) from its \"skills\" and \"tools.\"",[17,4164,4166],{"id":4165},"efficient-context-management-with-skills","Efficient Context Management with Skills",[22,4168,4169],{},"A primary challenge in agentic workflows is context bloat. ADK 2.0 addresses this through a two-tiered \"skill\" system:",[33,4171,4172,4178],{},[36,4173,4174,4177],{},[39,4175,4176],{},"YAML Metadata:"," Contains a concise description of the skill's purpose. This is loaded into the agent's context at startup.",[36,4179,4180,4183],{},[39,4181,4182],{},"Markdown Body:"," Contains the actual implementation (code, scripts, or documentation). This is only fetched and loaded when the agent determines the specific task requires that skill.",[22,4185,4186],{},"This approach keeps the agent's active context clean while allowing it to access complex, verbose instructions or Python scripts only when necessary. Skills can be derived from existing documentation (e.g., converting a Google Doc into a structured skill) to ground the agent's decision-making in non-deterministic, domain-specific criteria.",[17,4188,4190],{"id":4189},"integrating-real-world-tools-via-mcp","Integrating Real-World Tools via MCP",[22,4192,4193],{},"To perform tasks in the real world, agents must interact with external services without requiring the model to \"guess\" or hallucinate. This is achieved through:",[33,4195,4196,4202],{},[36,4197,4198,4201],{},[39,4199,4200],{},"MCP Servers:"," Remote Model Context Protocol (MCP) servers act as bridges to external APIs, such as Google Maps or Google Workspace. This allows agents to perform complex operations—like weather lookups or spatial calculations—using natural language queries.",[36,4203,4204,4207],{},[39,4205,4206],{},"Grounded Computation:"," Rather than relying on the LLM for math, agents use specialized Python scripts (e.g., for GeoJSON route generation) to ensure outputs are mathematically precise and constrained by real-world boundaries (like city limits).",[17,4209,4211],{"id":4210},"deployment-and-scalability","Deployment and Scalability",[22,4213,4214],{},"Once built, these agents can be deployed across standard cloud infrastructure, including Cloud Run and Google Kubernetes Engine (GKE). The ADK 2.0 framework supports multiple languages (Python, Go, TypeScript, Java), allowing teams to integrate agentic workflows into existing enterprise stacks. The provided \"race condition\" repository serves as a reference implementation for a high-scale simulation, demonstrating how multiple agents can orchestrate complex tasks like marathon planning by coordinating GIS data, mapping services, and logistical requirements.",{"title":90,"searchDepth":91,"depth":91,"links":4216},[4217,4218,4219,4220],{"id":4158,"depth":91,"text":4159},{"id":4165,"depth":91,"text":4166},{"id":4189,"depth":91,"text":4190},{"id":4210,"depth":91,"text":4211},[98],{"content_references":4223,"triage":4234},[4224,4228,4231],{"type":105,"title":4225,"url":4226,"context":4227},"Agent Development Kit (ADK) 2.0","https:\u002F\u002Fgoo.gle\u002F3Pn0Z01","recommended",{"type":105,"title":4229,"url":4230,"context":4227},"Building ADK Agents with Skills and Tools Codelab","https:\u002F\u002Fgoo.gle\u002F4wB4515",{"type":105,"title":4232,"url":4233,"context":108},"Race Condition Simulation Sandbox","https:\u002F\u002Fgoo.gle\u002F4nEraMv",{"relevance":117,"novelty":118,"quality":118,"actionability":118,"composite":119,"reasoning":4235},"Category: AI & LLMs. The article provides a detailed overview of the Agent Development Kit (ADK) 2.0, which is directly relevant to building AI-powered products, particularly in the context of creating scalable AI agents. It discusses practical implementations like context management and integration with real-world tools, which are actionable insights for developers.","\u002Fsummaries\u002Ffbbc572df621856a-building-enterprise-ready-ai-agents-with-adk-2-0-summary","2026-05-19 04:00:20","2026-05-19 07:00:31",{"title":4148,"description":90},{"loc":4236},"fbbc572df621856a","Google Cloud Tech","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=-FRomcsclxw","summaries\u002Ffbbc572df621856a-building-enterprise-ready-ai-agents-with-adk-2-0-summary",[133,4246,135,136],"python","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002F-FRomcsclxw\u002Fhqdefault.jpg","The Agent Development Kit (ADK) 2.0 enables scalable, enterprise-ready AI agents by combining modular 'skills' and remote MCP servers to manage context efficiently and perform complex, grounded tasks.","This session provides a technical overview of the [Agent Development Kit (ADK)](https:\u002F\u002Fgoo.gle\u002F3Pn0Z01), a framework for building modular AI agents that use \"skills\" (YAML-defined metadata and markdown logic) and [MCP servers](https:\u002F\u002Fgoo.gle\u002F3Pn0Z01) to manage context. The speaker demonstrates these concepts by orchestrating a multi-agent marathon simulation, with a [codelab](https:\u002F\u002Fgoo.gle\u002F4wB4515) available to help you deploy similar workflows on Google Cloud.",[136],"J96REJ8nqwEv1qp3i_rUmJgyqh_DEiUN5TVzvQdgf2k",{"id":4253,"title":4254,"ai":4255,"body":4260,"categories":4437,"created_at":99,"date_modified":99,"description":90,"extension":100,"faq":99,"featured":101,"kicker_label":99,"meta":4438,"navigation":121,"path":4455,"published_at":4456,"question":99,"scraped_at":4457,"seo":4458,"sitemap":4459,"source_id":4460,"source_name":4461,"source_type":4073,"source_url":4462,"stem":4463,"tags":4464,"thumbnail_url":99,"tldr":4466,"tweet":99,"unknown_tags":4467,"__hash__":4468},"summaries\u002Fsummaries\u002F7b178127a7cf8054-build-claude-skills-right-avoid-context-bloat-trai-summary.md","Build Claude Skills Right: Avoid Context Bloat, Train via Workflow",{"provider":7,"model":4026,"input_tokens":4256,"output_tokens":4257,"processing_time_ms":4258,"cost_usd":4259},8705,2203,15940,0.00255165,{"type":14,"value":4261,"toc":4428},[4262,4266,4269,4272,4275,4279,4282,4288,4294,4305,4308,4311,4315,4318,4321,4324,4327,4331,4334,4337,4340,4348,4351,4355,4358,4361,4365,4383,4386,4389,4393],[17,4263,4265],{"id":4264},"context-windows-limit-agent-performanceskills-fix-bloat","Context Windows Limit Agent Performance—Skills Fix Bloat",[22,4267,4268],{},"Claude's context window acts as working memory, filled by system prompt (fixed, ~10%), Claude.md (loaded every turn, often 1,000+ tokens), skills (name + description only until needed), tools, codebase, and growing conversation. Stay under 70% usage; over 80% causes hallucinations, confusion, worse outputs. Common mistake: cramming workflows into Claude.md burns 7,000 tokens per message before querying. Skills use progressive disclosure—53 tokens for name\u002Fdescription, full instructions load only on invocation. Result: 200 tokens total vs. thousands, precise tool use.",[22,4270,4271],{},"\"95% of you do not need a Claude.md file unless you have proprietary information that the agent genuinely needs to know on every single turn... You should just be using skills instead.\"",[22,4273,4274],{},"Trade-off: Skills require upfront training but save tokens long-term, enabling complex workflows without degradation. Early lesson from voice agents for medical clinics: long prompts increased hallucinations, not intelligence.",[17,4276,4278],{"id":4277},"train-skills-like-a-new-employee-3-step-process","Train Skills Like a New Employee: 3-Step Process",[22,4280,4281],{},"Identify repeatable workflows first—sponsor research, competitor analysis, analytics reports, outreach. Don't write instructions from scratch; that's why outputs stay generic.",[22,4283,4284,4287],{},[39,4285,4286],{},"Step 1: Pick workflow."," Choose something you've done manually repeatedly, so you know success criteria.",[22,4289,4290,4293],{},[39,4291,4292],{},"Step 2: Walk agent through interactively (critical, skipped by most)."," Simulate training: forward sponsor email, say \"Check website, Twitter, Trustpilot.\" Correct iteratively: \"No, check Crunchbase funding, Twitter followers; reject if 2+ criteria fail (low funding\u002Ffollowers, bad reviews, irrelevant to AI\u002Fbusiness audience).\" Back-and-forth builds context-specific understanding. Garbage in, garbage out—pre-walkthrough skills fail because agent lacks your nuances.",[22,4295,4296,4299,4300,4304],{},[39,4297,4298],{},"Step 3: Codify from success."," After perfect run: \"Review conversation, create skill.md with name, 1-line description, step-by-step instructions, rejection criteria.\" Use ",[4301,4302,4303],"code",{},"\u002Fskills create"," command or prompt. Agent maps exact successful process, not guesses.",[22,4306,4307],{},"\"Most people completely skip step number two, and that's why their skills are just complete garbage.\"",[22,4309,4310],{},"Prerequisites: Claude Code (terminal or Work), premium plan ($20+). In Cursor\u002FVS Code: install extension, Cmd+Escape to launch. Assumes basic terminal comfort, AI agent familiarity.",[17,4312,4314],{"id":4313},"recursive-loop-makes-skills-bulletproof","Recursive Loop Makes Skills Bulletproof",[22,4316,4317],{},"Skills fail initially—good. Diagnose: \"What happened? Wrong API? Missed step?\" Agent self-heals or you fix: \"Update skill to handle this.\" 3-5 iterations expose vulnerabilities. Example: 8-source analytics report now flawless after loops.",[22,4319,4320],{},"No one-shot complex skills. Loop: fail → analyze → update → test. Agents auto-alternative tools (e.g., Firecrawl → web search on permission walls).",[22,4322,4323],{},"\"Every time it fails, you have an opportunity to make it much, much better... after maybe about three to five iterations... bulletproof.\"",[22,4325,4326],{},"Quality criteria: Consistent success on new inputs, handles errors autonomously, matches your exact criteria (e.g., audience relevance).",[17,4328,4330],{"id":4329},"live-sponsor-research-from-generic-to-tailored","Live Sponsor Research: From Generic to Tailored",[22,4332,4333],{},"Hypothetical: Jasper AI\u002FAnthropic emails. Initial prompt: Basic checks yield solid but generic verdict (credible, verify domains). Missing: Your criteria.",[22,4335,4336],{},"Refine: Add Crunchbase funding, Twitter followers (>10k?), Trustpilot (>4 stars), AI\u002Fbusiness relevance. Auto-reject on 2+ fails. Agent parallelizes: fetches sites, searches X\u002FTrustpilot\u002FCrunchbase. Handles errors (X access issues → web search). Outputs: Funding details, followers (Jasper 50k+, Anthropic massive), ratings (4.5+), relevance (high), verdict: PASS.",[22,4338,4339],{},"Create skill: \"sponsor-check.md\"—name: Sponsor Check, desc: \"Research sponsors via funding\u002FTwitter\u002FTrustpilot\u002Frelevance, auto-reject bad fits.\" Steps: 1. Fetch sites\u002FCrunchbase. 2. Check followers\u002Freviews. 3. Assess audience fit. 4. Verdict.",[22,4341,4342,4343,4347],{},"Test on new companies: Invoke \"Use sponsor-check on ",[4344,4345,4346],"span",{},"new email",".\" Reproducible, token-efficient.",[22,4349,4350],{},"Before: Generic research, no rejection logic. After: Tailored, autonomous.",[17,4352,4354],{"id":4353},"setup-in-cursorclaude-code-work","Setup in Cursor\u002FClaude Code Work",[22,4356,4357],{},"Cursor: New folder\u002Fproject → Extensions → Claude Code → Install\u002Flogin → Cmd+Escape. Handles terminal under hood. Claude Code Work: Download, premium required, simplified UI (90-95% capability).",[22,4359,4360],{},"Tools auto-detected: Web fetch\u002Fsearch, Firecrawl (for scrapes). Permissions prompt for safety.",[17,4362,4364],{"id":4363},"_5-skills-every-business-needs","5 Skills Every Business Needs",[4366,4367,4368,4371,4374,4377,4380],"ol",{},[36,4369,4370],{},"Sponsor research (as demoed).",[36,4372,4373],{},"Competitor YouTube analysis.",[36,4375,4376],{},"Analytics report generation.",[36,4378,4379],{},"Outreach crafting.",[36,4381,4382],{},"Content repurposing (scripts → 6 platforms).",[22,4384,4385],{},"Start with your repeats; share in communities for refinement.",[22,4387,4388],{},"\"If you are using Claude code and you're not building skills, you are missing the single most powerful feature that Anthropic has shipped this year.\"",[17,4390,4392],{"id":4391},"key-takeaways","Key Takeaways",[33,4394,4395,4398,4401,4404,4410,4413,4416,4419,4422,4425],{},[36,4396,4397],{},"Ditch Claude.md for skills: Saves 95% tokens, loads precisely.",[36,4399,4400],{},"Step 2 mandatory: Interactive walkthrough before codifying—trains nuances.",[36,4402,4403],{},"Recursive loop: Fail → diagnose → update (3-5x) for reliability.",[36,4405,4406,4407,4409],{},"Invoke skills explicitly or let agent choose; use ",[4301,4408,4303],{}," post-success.",[36,4411,4412],{},"Test on fresh data; define reject criteria upfront (e.g., 2+ fails).",[36,4414,4415],{},"Setup: Cursor + Claude Code extension for DX; premium plan.",[36,4417,4418],{},"Essential: Sponsor check, competitor analysis, reports, outreach, repurposing.",[36,4420,4421],{},"Under 70% context: Monitor via token counts.",[36,4423,4424],{},"Train like employee: Correct in-context, build to success.",[36,4426,4427],{},"Self-healing: Agents swap tools on errors (Firecrawl → search).",{"title":90,"searchDepth":91,"depth":91,"links":4429},[4430,4431,4432,4433,4434,4435,4436],{"id":4264,"depth":91,"text":4265},{"id":4277,"depth":91,"text":4278},{"id":4313,"depth":91,"text":4314},{"id":4329,"depth":91,"text":4330},{"id":4353,"depth":91,"text":4354},{"id":4363,"depth":91,"text":4364},{"id":4391,"depth":91,"text":4392},[98],{"content_references":4439,"triage":4452},[4440,4441,4443,4445,4447,4449],{"type":105,"title":106,"context":108},{"type":105,"title":4442,"context":108},"Cursor",{"type":105,"title":4444,"context":108},"Firecrawl",{"type":105,"title":4446,"context":108},"Trustpilot",{"type":105,"title":4448,"context":108},"Crunchbase",{"type":105,"title":4450,"url":4451,"context":108},"X (Twitter)","https:\u002F\u002Fx.com",{"relevance":117,"novelty":118,"quality":118,"actionability":117,"composite":4453,"reasoning":4454},4.55,"Category: AI & LLMs. The article provides a detailed, actionable framework for building Claude skills, addressing the common pain point of context bloat in AI agents. It outlines a clear three-step process for training agents, which is immediately applicable for developers looking to optimize their AI workflows.","\u002Fsummaries\u002F7b178127a7cf8054-build-claude-skills-right-avoid-context-bloat-trai-summary","2026-04-20 14:58:56","2026-04-21 15:16:02",{"title":4254,"description":90},{"loc":4455},"2a3f3f441035b6ee","Nick Puru | AI Automation","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=mJTLS3Sp5so","summaries\u002F7b178127a7cf8054-build-claude-skills-right-avoid-context-bloat-trai-summary",[133,134,4465,135],"ai-tools","Claude skills beat bloated Claude.md files by loading only when needed. Build them via 3 steps: identify workflow, walk agent through it interactively, then codify successful run. Iterate recursively for bulletproof results.",[],"IUb5BWVUwtZsREx_7OqKBHcPe4Ohnvy8FBhnd3dTr2g"]