abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Identify the limiting dimension or dependency currently constraining progress.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill identify-bottleneck --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill identify-bottleneck -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill identify-bottleneck -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill identify-bottleneck -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill identify-bottleneck -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill identify-bottleneck -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill identify-bottleneck -a windsurf -y
name: identify-bottleneck description: "Identify the limiting dimension or dependency currently constraining progress."
Identify the limiting dimension or dependency currently constraining progress.
required: [goal_state, dependency_or_factor_set, progress_evidence] optional: [capacity_limits, intervention_history, bottleneck_definition] constraints: [bottleneck claim requires a limiting relation and evidence]
1. Map factors and dependencies to the blocked outcome. 2. Compare capacities, delays, and failure frequencies. 3. Test candidate limits by tracing counterfactual relief or substitution. 4. Return primary bottleneck, alternatives, and evidence gaps.
produces: [bottleneck_assessment, limiting_relation, candidate_reliefs, evidence_gaps] delta_fields: [findings, decisions, uncertainties]
Caller supplies goal schema, dependency graph, capacity metrics, bottleneck definition, and counterfactual test.
Reject bottlenecks inferred from salience alone or without a relation to the blocked outcome.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Evaluate competing arguments against stated criteria and produce a reasoned verdict with uncertainty.
Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context,…
Run structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner. Perspective, target,…
Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.
Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work. Also covers…
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling…