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当用户想在大V帖下评论获取曝光、纠结Repost还是Quote、或问"怎么引发互动""怎么在别人帖下获曝光又不被当蹭流量"时调用。六种评论互动法(有价值提问/A-B引战/坎宁汉姆定律/真诚请教/生活日常/找骂)+高质量回复吃原帖流量+Repost vs Quote区分。Trigger:评论互动/蹭流量/Quote还是Repost/评论区抢占/comment engagement/quote vs repost/how to reply for exposure。不适用于:自己发原创帖(用x-short-content-craft)、冷启动整体策略排序(用x-cold-start-playbook)。
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Consistent agent behavior after restart — progressive identity loading, working context reconstruction from persistent artifacts, fresh-vs-continuation detection, calibration through centering and attunement, and identity verification for coherence. Addresses the cold-start problem where an agent must reconstruct who it is and what it was doing from evidence rather than memory. Use at the start of every new session, after a session interruption or crash, when agent behavior feels inconsistent with prior sessions, or when persistent memory and current context appear contradictory.
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Cold-start brownfield reconnaissance — reconstruct the WHOLE game design from an existing codebase when there is no GDD yet. Optionally accepts a free-text game description, notes, or reference links to guide and enrich the scan. Use when the user wants to build the game design from the code, e.g. "create a GDD from this codebase", "reconstruct the design from our code — it's a roguelike deck-builder", "build a design doc from the existing project, here are some refs". Scans the project (engine auto-detected), extracts a system roster + dependency graph and content-type schemas / resources / entities into one passive .unikit/gamedesign/RECON.md, tags every fact provenance:extracted-from-code, and writes a mandatory Intent Gap for what code cannot know (pillars, fantasy, the "why"). Writes nothing else and calls no skill. STRICTLY whole-project cold-start — if a GDD already exists and the user wants a specific part investigated, use /unikit-gd-explore (code lens); to author the GDD use /unikit-gd-spec.
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Locate relevant code in an unfamiliar repository or after a direct search fails. This read-only explorer returns a short list of file paths, verified line ranges, and relevance notes for another agent to use.
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Populate a new GBrain knowledge base by importing notes, contacts, calendars, email, and other archives in a practical order. Connect people and companies across sources, filter low-value content, and resume interrupted imports from saved progress.
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Guide new legal clinic students through procedures and commands using the clinic’s uploaded handbook. Students practice client intake, document drafting, and research planning with fictional cases, then review verification habits and supervision requirements.
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Review intellectual property terms in contracts to identify gaps in rights transfers, unclear ownership, licensing limits, and warranty or indemnity issues. Receive a risk-ranked memo with suggested edits and inconsistencies across clauses.
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Prepare draft DMCA copyright takedown notices or counter-notices, and assess notices you receive. The workflow checks ownership, permission, and fair use, then organizes response options and required reviews before submission.
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Find a starting set of community legal skills through an interview about role, practice area, industry, and daily work. Review recommendations, install selected skills, and save preferences for trusted sources, updates, and available integrations.
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Set up a law school clinic's shared context through an interview with its supervising attorney. Record practice areas, jurisdiction, supervision choices, confidentiality rules, and teaching materials for other skills and student onboarding to use.
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Set up a personal profile for legal study by collecting courses, exam dates, learning preferences, strengths, and weak areas. Add past exams, graded essays, and other materials to inform how the plugin supports future study sessions.
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Review licenses in dependency lists, individual libraries, or code planned for public release. Get a memo covering obligations for the deployment model, license conflicts, unresolved questions, and recommended actions for legal review before shipping.
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Prepare a draft letter demanding an end to trademark or copyright infringement, or assess a letter you received. It organizes rights, demands, counterparty risks, and response options for attorney review, following your team's enforcement policy.
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Update an existing intellectual property practice profile one setting at a time. Review current values, understand how changes affect later work, and adjust risk preferences, contacts, portfolio coverage, enforcement policies, or open-source license review rules.
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Track legal work after an acquisition closes, including counterparty consents, contract transfers, and purchase agreement deadlines. Build phased workplans from available deal documents, update progress, and produce status reports or CSV exports for review.
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Review vendor agreements, NDAs, and SaaS contracts against an established contract playbook. Identify the main agreement and attachments, select the relevant review skills, and combine deviations, proposed wording, and required approvers into one memo.
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Draft an AI usage policy for a law firm or legal team using published policies and guidance. Adapt selected sections to the organization, cite sources, and flag decisions and open questions for attorney review.
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Use when the user wants to orchestrate defect image generation with NVIDIA Cosmos AnomalyGen (Cosmos-Predict2-derived) on OSMO for PCBA, metal surface, and glass inspection. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint, cosmos defect generation, cosmos-predict2 defect, cosmos-anomalygen, cosmos predict2 finetune.
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Diagnoses and resolves Amazon RDS for Oracle connectivity, authentication, networking, and driver troubleshooting. Applicable to any RDS-for-Oracle question including connecting a Python Lambda to RDS Oracle in a VPC with pooling and cold-start optimization, EKS pods to RDS Oracle via the Secrets Manager CSI driver with IRSA and SecretProviderClass, ORA-12170 cross-VPC timeouts from EC2, DPI-1047 cannot-locate-64-bit-Oracle-Client errors, and Oracle Connection Manager (CMAN) on EC2 as a proxy with HA across two AZs. Covers python-oracledb thin vs thick mode, init_oracle_client, RDS Proxy does NOT support RDS Oracle, port 1521, VPC peering, Transit Gateway, Kerberos with AWS Managed Microsoft AD, SSL/TLS/NNE, SSM port forwarding, EC2/ECS Fargate/EKS/Lambda, SQL Developer/DBeaver/Toad/SQLcl, and Secrets Manager.
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Start and scale networked products using Andrew Chen's "The Cold Start Problem" framework for network effects. Use when the user mentions "network effects", "chicken and egg", "cold start", "two-sided marketplace", "atomic network", "hard side", "liquidity", "critical mass", "invite-only launch", "how do I get my first users", or "the marketplace has no buyers or sellers". Also trigger when launching a marketplace, social, or collaboration product that is worthless without other users, deciding launch sequencing and seeding tactics, or diagnosing stalled network growth at scale. Covers the five stages: cold start, tipping point, escape velocity, hitting the ceiling, and the moat. For word-of-mouth virality, see contagious. For habit-driven retention, see hooked-ux.
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Guided journey from a business with lucky months to a repeatable growth engine that produces a forecast. Orchestrates nine skills phase by phase - one-page-marketing, hundred-million-offers, predictable-revenue, contagious, influence-psychology, crossing-the-chasm, cold-start-problem, lean-analytics, negotiation - asking the user questions at every decision point and recording results in the project docs/ folder (MARKETING.md, OFFER.md, METRICS.md, GROW-BUSINESS-PLAN.md) so the journey resumes across sessions. Use when the user wants to build a marketing and sales system, manufacture predictable pipeline, engineer word-of-mouth and referrals, or says 'revenue is real but lumpy and I need growth that repeats'. If the offer, retention, or operations underneath are broken, run improve-business first; with no paying customers yet, start with create-business; when the product itself must carry the growth loops, use grow-app. For one framework in isolation, invoke that skill directly.
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When the user wants to plan a product launch, execute launch channels, or create a launch checklist. Also use when the user mentions "product launch," "launch strategy," "product announcement," "launch channels," or "market launch." For GTM motion and positioning, use gtm-strategy. For cold start and first users, use cold-start-strategy. For Product Hunt day-of, use product-hunt-launch.
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When the user wants to plan cold start, get first users, or launch a new product with zero traction. Also use when the user mentions "cold start," "cold start problem," "first users," "seed users," "finding users," "finding early users," "Fiverr Upwork," "comment outreach," "Twitter search users," "product launch strategy," "0 to 1 growth," "early-stage acquisition," "launch channels," "get first customers," "Product Hunt launch," "AppSumo," "LTD," "indie hacker," "bootstrapping," or "solo founder." For directory listing copy and submissions, use directory-submission. For Product Hunt day-of execution, use product-hunt-launch. For GTM motion design, use gtm-strategy.
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When the user wants indie hacker or bootstrapping founder strategy—growth, channels, Build in Public, or solo founder tactics. Also use when the user mentions "indie hacker," "indie developer," "bootstrapping," "bootstrapped founder," "solo founder," "Build in Public," "scratch your own itch," "Micro-SaaS," "first 100 users," or "solo company." For cold start, use cold-start-strategy.
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