hypothesis-formation-gap-prioritization

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Campaign: Systematically assess and rank research gaps, determining the targets most worth attacking

yogsoth-ai By yogsoth-ai schedule Updated 6/16/2026

name: hypothesis-formation-gap-prioritization description: 'Campaign: Systematically assess and rank research gaps, determining the targets most worth attacking' version: 1.0.0 category: hypothesis-formation type: campaign input: 'Gaps produced by upstream repos (any format: knowledge-acquisition, deep-insight, or manually provided by the user)' output: Ranked gap priority list + suggested attack paths for the top N gaps strategies:

  • multi-criteria-ranking
  • evidence-based-prioritization
  • stakeholder-weighted-ranking
  • portfolio-optimization
  • rapid-triage tactics:
  • scoring-matrix-construction
  • pairwise-comparison
  • priority-sensitivity-testing dependencies: campaigns:
    • hypothesis-formulation strategies:
    • evidence-based-prioritization
    • hypothesis-formation-portfolio-optimization
    • multi-criteria-ranking
    • rapid-triage
    • stakeholder-weighted-ranking tactics:
    • pairwise-comparison sops:
    • context-checkpoint
    • context-init
    • hypothesis-formation-quality-gate-check
    • hypothesis-formation-saturation-detection

Gap Prioritization

Systematically assess and rank research gaps — answering "which gaps are most worth attacking?"

HARD-GATE

Preconditions (all must hold before starting): 1. At least 3 clearly identified research gaps already exist (from an upstream repo or provided by the user) 2. Each gap has sufficient description (at least: what the gap is, why it exists, in which domain) 3. The research intent is clear (north-star-crystallization completed or explicitly stated by the user)

Not met → stop, and inform the user that upstream work must be completed first.

Campaign Goal

Turn a batch of unranked research gaps into a prioritized attack list. The output is not "discovering new gaps" but "making decisions about existing gaps."

Strategy Selection

Strategy When to use Default
multi-criteria-ranking Moderate number of gaps (5-20), systematic assessment needed
evidence-based-prioritization Gaps from rigorous literature review, with ample supporting evidence
stakeholder-weighted-ranking Research involves multiple stakeholders
portfolio-optimization Large number of gaps (20+), portfolio-level decisions needed
rapid-triage Very large number of gaps (50+), rapid coarse screening needed first

CC autonomously selects a strategy based on gap count, evidence sufficiency, and stakeholder complexity. Strategies can be combined (e.g., rapid-triage to screen first → multi-criteria-ranking for fine ranking).

Budget Gate

Tier Number of gaps Assessment dimensions Scoring rounds Final output
S 3-5 ≥3 1 Ranking + top 2 attack suggestions
M 6-20 ≥4 ≥2 (incl. sensitivity testing) Ranking + top 3-5 attack suggestions
L 20+ ≥5 ≥3 (incl. portfolio optimization) Ranking + top 5-8 attack suggestions + portfolio analysis

Context Management

  • Call context-init at the start of the campaign
  • Call context-checkpoint after each strategy completes (hard constraint)
  • All outputs accumulate in a single campaign-scoped context file

Minimum Yield

Each campaign execution must produce:

  1. A standardized gap list (unified format)
  2. A multi-dimensional scoring matrix (or an equivalent ranking basis)
  3. A final priority ranking
  4. Suggested attack paths for the top N gaps (incl. method direction, expected difficulty, required resources)

Available Strategies

Optional, no fixed order; the final leaf is always a sop.

Strategy When to use
evidence-based-prioritization Strategy: evidence-strength-based AHRQ PiCMe assessment — drive gap prioritization with the quality of literature evidence
hypothesis-formation-portfolio-optimization Strategy: Treat the gap set as an investment portfolio — use risk/return/diversity optimization to select the optimal gap portfolio
multi-criteria-ranking Strategy: multi-dimensional weighted scoring and ranking — decompose a gap into independent sub-questions, then recombine into a priority list
rapid-triage Strategy: rapid coarse screening — two filtering rounds compress a large set of gaps into a fine-rankable candidate set
stakeholder-weighted-ranking Strategy: Weight by stakeholder perspective — the same gap carries different weight under different perspectives; take the consensus ranking at the end

Available Tactics

Optional, no fixed order; the final leaf is always a sop.

Tactic When to use
pairwise-comparison Tactic: rank gaps through relative comparison rather than absolute scoring, suited to hard-to-quantify situations

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP When to use
context-checkpoint Append research process and results to the current Phase's context file. Each append MUST contain >=500 lines of markdown covering both process and results. Use this skill at plan-designated checkpoint points — typically after each strategy completes or at key decision nodes within a research Phase.
context-init Create a new context file for a research Phase. Called once at Phase start to initialize the file that subsequent context-checkpoint calls will append to. Use this skill whenever a new research Phase begins and a fresh context file is needed.
hypothesis-formation-quality-gate-check Shared SOP: General quality-gate check (format completeness, logical consistency)
hypothesis-formation-saturation-detection Shared SOP: judge whether the current activity has reached information saturation

Available Campaigns

Optional, no fixed order; the final leaf is always a sop.

Campaign When to use
hypothesis-formulation Campaign: transform insights and gaps into structured testable hypotheses
Install via CLI
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill hypothesis-formation-gap-prioritization
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