yogsoth-ai/north-star-crystallization

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Understand who the user is — background, resources, constraints, and deep motivations. Produces an ActorProfile that informs all downstream decisions. Use this tactic at the start of any crystallization process to build a model of the user's capabilities, limitations, and intent.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

KAOS-style recursive goal decomposition. AND decomposition for sub-goals that must ALL be satisfied. OR decomposition for alternative paths where any one suffices. Produces a GoalTree (DAG structure).

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Understand hard boundaries on the user's research — target venues, methodology preferences, areas to avoid, advisor/team requirements. Not limited to ML/AI — works for any research domain.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Present the GoalTree to the user for confirmation. Ask about reasonableness, missing elements, and priority ordering among sub-goals.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Deep WHY probing inspired by i Intentionality modeling. Understand the user's motivation, success definition, risk tolerance, innovation preference, independence preference, time urgency, and learning willingness. The most important SOP in actor-profiling — understanding WHY drives everything downstream.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Present obstacles with their severity assessments and proposed mitigations to the user. Ask whether they can accept these obstacles. If unacceptable after 2 rounds, return to present-candidates.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Rate each identified obstacle's difficulty — overcomability, time cost, workaround existence. May optionally use search tools to validate assessments.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Paper landscape scan within selected field(s). Strict import of literature-engine/literature-overview skill. Hard constraint: at least 80 papers scanned.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Quick web scanning for field landscape understanding. Strict import of web-browsing/web-search skill. Hard constraint: bravewebsearch count=10 per call, at least 150 total search results before completing.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Understand what resources the user has available for research — compute, timeline, collaboration, data access, experimental environment. Every item accepts 'TBD' as a valid answer.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Full crystallization strategy for users who have no research direction at all. Covers actor profiling, landscape reconnaissance, direction narrowing, obstacle analysis, goal decomposition, and north-star synthesis. Use when the user's first message reveals zero specificity about what they want to research.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Fuse the GoalTree root node and user motivation into a single crystallized North Star statement. Format: '[verb] [specific goal], through [method/path], solving [what problem], ultimately [what impact]'. Quality checks: specific? ambitious? achievable?

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Full-page web reading for non-academic perspectives — blogs, tech reports, product pages, industry analysis. Spawns a subagent to read pages in isolated context. Hard constraint: at least 30 web pages read in full.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Focus within the user's chosen field(s). Identify specific sub-directions through deep paper and web research, then present ranked candidates. Use after landscape-reconnaissance has identified fields of interest.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Understand the user's background comprehensively — technical stack, project experience, research experience, publications, research directions. Allows user to express interest beyond their resume. Execute once only, never re-run.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Cross-reference the GoalTree against ActorProfile (capabilities), ObstacleReport (known barriers), and timeline (deadline feasibility). Identify infeasible paths and suggest OR alternatives.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

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/north-star-crystallization

Skill Claude CodeCodex

Express the user's chosen research direction as a formal goal statement in the format: 'Achieve [what], such that [effect], under [constraints]'. Confirm with user before proceeding to decomposition.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Propose 3-8 candidate research fields based on the full ActorProfile. When user wants to explore beyond their current stack, use other ActorProfile signals (intentionality, boundary) to determine exploration space. Free exploration within the boundary.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Aggregate all accumulated context from the crystallization process into a structured ResearchBrief document. This is the final output artifact alongside the North Star — a comprehensive requirement context document for downstream research strategies.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Structure the user's chosen direction into a formal goal tree using KAOS-style AND/OR decomposition. Validate feasibility against ActorProfile and ObstacleReport. Use after obstacle-analysis confirms the direction is viable.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Minimal crystallization strategy for users who already have a specific research topic or problem (e.g., "I want to improve CoT faithfulness in LLMs") and need structuring into a formal North Star. Heavily simplifies or skips exploration tactics, focusing on obstacle analysis, goal decomposition, and synthesis. Use…

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Enumerate barriers to pursuing the chosen research direction — knowledge barriers, resource barriers, capability barriers, competition barriers. May optionally use search tools to discover obstacles the user hasn't mentioned.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Broad, shallow exploration of candidate research fields. Understand what's out there before narrowing. Use when the user needs to discover which fields are available to them — especially in cold-start and warm-start scenarios.