Marketing & Growth

yogsoth-ai Skill

Systematic Patent Analysis Campaign — 5 strategies for patent landscape analysis, prior art search, white space identification, competitive intelligence, and claim analysis. Produces structured patent intelligence reports.

yogsoth-ai Skill

Steel-Manning Campaign — adversarial verification of convergence decisions through resurrection advocacy, winner stress-testing, criteria interrogation, and multi-perspective attack using Devil's Advocacy, Pre-mortem, Red Teaming, Dialectical Inquiry methods.

yogsoth-ai Skill

Generate a complete, executable Research Spec from North Star + user input. Strategy-level skill that orchestrates questioning, outline, and spec writing.

cslawyer1985 Bundle

Nevada Business Entity Disputes & Commercial Litigation — Attorney Marketing Kit

cslawyer1985 Bundle

［何时使用］当用户需要审查金融产品营销内容合规性时；当用户说"检查这篇文章合规吗"、"营销方案合规审查"、"生成合规营销方案"、"金融产品宣传"时；当检测到"金融营销"、"合规审查"、"违规判断"等关键词时

yogsoth-ai Skill

Campaign for building causal models — identify variables, map mechanisms, collect evidence, analyze interventions, validate models. Produces causal graphs in the wiki vault.

yogsoth-ai Skill

Campaign: Compile a context/ research record into an ARA (Agent-Native Research Artifact) and run a Level-2 epistemic review — no LaTeX, no narrative paper

yogsoth-ai Skill

Campaign for mapping argument structures — extract claims, link evidence, assess strength, synthesize positions. Produces argument graphs in the wiki vault.

yogsoth-ai Skill

Self-review the North Star + ResearchBrief for completeness, consistency, and clarity before presenting to user. If issues found, return to specific tactic/SOP for targeted fix. If passes, present final output to user for confirmation.

yogsoth-ai Skill

Lateral Thinking Campaign — escape logical thinking tracks via PO/movement, random entry, concept fan, challenge, and six hats (de Bono)

yogsoth-ai Skill

Pairwise Ranking Campaign — produce global rankings through pairwise comparisons and voting aggregation using Bradley-Terry, Elo, TrueSkill, Condorcet, Borda, Schulze methods.

yogsoth-ai Skill

Boundary Analysis Campaign — probe where methods fail, map validity envelopes, test robustness, catalog failure modes, detect scaling limits. 5 strategies, 3 tactics, 11 subagent SOPs.

yogsoth-ai Skill

Autonomous Literature Survey Campaign — 5 research paradigms (scoping, systematic, deep, narrative, snowball) with quantitative budget enforcement. Selects and executes the right survey paradigm based on research intent.

yogsoth-ai Skill

Campaign: Multi-agent structured debate for adversarial validation. Core question: Can this artifact survive structured adversarial debate? Methods: Irving AI Safety via Debate, Du Society of Mind, Liang MAD, Toulmin Argumentation, D3 framework.

yogsoth-ai Skill

Campaign for building domain ontologies — systematic concept extraction, relation typing, taxonomy construction, and iterative refinement. Produces a structured concept hierarchy in the wiki vault.

yogsoth-ai Bundle

Campaign: Refine hypotheses into precise, framed research questions

yogsoth-ai Bundle

Synthesizes findings from a completed campaign into typed verdict reports. Produces DebateVerdict, RedTeamReport, FailureAnticipationReport, CounterfactualMap, or AdversarialStressReport depending on campaign. Also supports cross-campaign StressTestSummary.

yogsoth-ai Skill

Structured questioning SOP to determine which campaigns to include, emphasize, or skip. Used during spec generation.

yogsoth-ai Skill

Perspective Forcing Campaign — discover hidden solutions by systematically switching viewpoints via roles, six hats, temporal projection, and constraint injection

yogsoth-ai Skill

Campaign for mapping design spaces — discover dimensions/axes, enumerate combinations, identify gaps and novel opportunities. Produces dimensional maps in the wiki vault.

yogsoth-ai Skill

Campaign: Forward-looking failure analysis combining pre-mortem rapid screening with systematic FMEA deep-dive. Core question: If this artifact fails, how will it fail? Methods: Klein Pre-Mortem 2007, AIAG-VDA FMEA 2019, IEC 60812.

yogsoth-ai Skill

Converge all accumulated context into a crystallized North Star statement and structured ResearchBrief. Performs self-review before presenting to user. Use as the final tactic in any start mode — this is where everything comes together.

yogsoth-ai Skill

Structured Consensus Campaign — converge multiple perspectives into shared agreement through iterative structured dialogue using Delphi variants, NGT, RAND/UCLA, Consensus Conference methods.

yogsoth-ai Skill

Evaluation Methodology Archaeology Campaign — 5 strategies for systematic analysis of AI/ML benchmarks, metrics, and leaderboards. Reveals construct validity issues, saturation, data contamination, and evaluation protocol inconsistencies.

yogsoth-ai Skill

Mechanism-Gap Hunting Campaign — hunt the specific link where scientific progress is BLOCKED, not where literature is empty. Use this instead of gap-analysis whenever the goal is truth-seeking / AI4S research rather than finding a publishable white-space — i.e. when the user asks "where is progress actually stuck", "what mechanism is blocking this", or wants a complete blocker set rather than a ranked gap list. 4 stages over reused deep-insight SOPs, with injected per-stage directives. Exhaustive (no prioritization/ranking).

yogsoth-ai Skill

Problem Reformulation Campaign — question the problem itself. Escape dominant ideas, reframe from multiple perspectives, apply dialectical inquiry, assess wickedness, discover appreciative alternatives. 5 strategies, 3 tactics, 10 subagent SOPs.

yogsoth-ai Bundle

Reconstruct a DARE skill repo's true use-dependency relations and render them as a self-contained, offline, Obsidian-style interactive HTML graph (pyvis / vis-network). Use this whenever the user wants to graph / map / visualize the skill dependencies of a repo or package, "画依赖图 / graph 化这个 repo / 把 skill 连边画出来 / 用 pyvis 出个图 / skill 关系图", or to audit how campaign→strategy→ tactic→sop skills connect. Trigger even if the user just says "给这个 package 做个图" without naming pyvis or HTML. Goes straight to HTML — never write an intermediate mermaid markdown first.

yogsoth-ai Skill

Assumption Destruction Campaign — open new solution spaces by negating, reversing, and challenging fundamental assumptions.

yogsoth-ai Skill

SOTA Performance Baseline Campaign — 5 strategies for systematically collecting, standardizing, and analyzing performance data across methods. Produces standardized comparison tables, progress curves, and headroom analysis.

pyfagorass Bundle

This skill helps users extract YouTube influencer profiles including social links, subscriber counts, and channel stats via the BrowserAct API. Agent should proactively apply this skill when users express needs like finding YouTube creators for specific keywords, discovering influencers for a marketing campaign, extracting YouTube channel contact emails, scraping YouTube influencer social media links, gathering subscriber counts for YouTube creators, researching top YouTube channels in a specific niche, compiling a list of YouTube content creators with recent uploads, collecting YouTube creator profiles for outreach, extracting total views and video counts for specific YouTube influencers, building a database of YouTube partners for market research, finding YouTube influencers who uploaded videos this month, or monitoring competitor influencer activities on YouTube.

pyfagorass Bundle

This skill helps users discover key contacts across industries, roles, and social platforms via the BrowserAct API. Agent should proactively apply this skill when users express needs like finding public profiles for founders or CEOs, discovering key decision-makers in a specific industry, extracting contact details for lead generation, searching for growth leaders on LinkedIn or Facebook, gathering professional networking profiles, retrieving URLs and names of industry leaders, finding marketing managers in a specific field, conducting competitive analysis by identifying key personnel, sourcing talent acquisition targets across platforms, or compiling a list of target roles on specific social sites.

pyfagorass Bundle

This skill helps users extract YouTube video transcripts and perform deep competitive analysis on the content. Agent should proactively apply this skill when users express needs like analyze YouTube video content strategy, perform competitive video content analysis, extract and analyze YouTube subtitles for marketing insights, understand competitor value propositions from their videos, identify target audience from YouTube video content, analyze pain points and needs mentioned in YouTube videos, evaluate competitor CTA strategies in video content, find content gaps in competitor YouTube videos, analyze video narrative structure and hooks, extract key messaging and positioning from YouTube content, benchmark competitor video content quality, research competitor marketing angles through video analysis, identify audience signals and terminology level in videos, analyze emotional tone and persuasion techniques in YouTube content.

pyfagorass Bundle

This skill helps users analyze Amazon competitor listings by ASIN and produce structured competitive intelligence plus strategic opportunity points for their own go-to-market. The Agent should proactively apply this skill when users want to analyze a competitor Amazon listing by ASIN, understand what a top-ranked product does right in content keywords or visuals, find market gaps and unmet buyer needs, turn competitor research into opportunity maps for their brand, identify keyword placement patterns on rival listings, extract SEO insights from Amazon product pages, reverse-engineer competitor bullet and title strategies, mine competitor reviews for buyer psychology, compare seller and A plus content patterns, run gap analysis before launching a new SKU, research why a listing wins conversion signals, synthesize whitespace you can own versus the diagnosed listing, or say just look at this ASIN with a competitive or optimization angle.

cerredz Skill

Use this skill after studying when the user wants Biggs and Collis's SOLO Taxonomy to assess structural depth from Pre-structural through Extended Abstract, prescribe the next learning move, and track reassessment growth. Do not use as a primary study method or for grading correctness alone.

cerredz Skill

Use this skill when the user invokes /bcg-matrix-trace or asks for a default public reasoning trace using BCG Growth-Share Matrix. The skill writes a durable scratchpad to root memory/{question_name}.md and uses BCG Growth-Share Matrix as the actual structure of the analysis. Treat the scale as a rough effort target rather than a fixed quota: around 100 numbered lines or roughly 2,000 to 3,500 tokens of public scratchpad detail. Use this skill when the user wants the answer shaped by analyzing business units by market growth rate and relative market share instead of a generic response.

yogsoth-ai Skill

Campaign: Counterfactual reasoning to identify load-bearing factors. Core question: If key factors were different, would the conclusion still hold? Methods: Pearl SCM Three-Step, Lewis Possible Worlds, Tetlock & Belkin, PNS/PS.