abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Analyze an ordered temporal trajectory, including persistence/narrowing/widening tests, regime changes, inflection points, and optional extrapolation with uncertainty. Entity type, window, and forecast mode are parameters.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-temporal-trajectory --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-temporal-trajectory -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-temporal-trajectory -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-temporal-trajectory -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-temporal-trajectory -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-temporal-trajectory -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-temporal-trajectory -a windsurf -y
name: analyze-temporal-trajectory description: "Analyze an ordered temporal trajectory, including persistence/narrowing/widening tests, regime changes, inflection points, and optional extrapolation with uncertainty. Entity type, window, and forecast mode are parameters."
Analyze an ordered temporal trajectory for persistence, narrowing or widening, regime changes, inflection points, and optional uncertain extrapolation.
required: [time_indexed_records, entity_type, metric, window] optional: [forecast_mode, uncertainty_model, grouping_keys, event_markers] constraints: [records are ordered by time; metric direction is explicit; extrapolation is optional and must carry uncertainty]
1. Normalize records by entity, metric, and time index and identify the observed frontier. 2. Fit the caller-selected trajectory representation and inspect residuals and regime changes. 3. Detect inflection points, persistence, narrowing, widening, or stable segments. 4. If forecast mode is enabled, extrapolate with confidence bands and explicit caveats. 5. Return trajectory data, regime annotations, and uncertainty.
If the trajectory suggests an abrupt regime change rather than smooth variation, consider `detect-breakpoint` as the next tactic.
produces: [trajectory_series, fitted_model, inflection_points, regime_labels, forecast, uncertainty_notes] delta_fields: [findings, evidence_updates, decisions, uncertainties]
The caller must provide the entity schema, time window, metric and direction, grouping keys, frontier rule, model/forecast mode, uncertainty method, and event markers. For persistence testing provide the requested windows; for filing or SOTA analysis provide dates and comparable score records.
Reject unsorted or incomparable records, forecasts without uncertainty, or regime labels unsupported by the observed series. Do not infer a future milestone when the metric definition changes across time.
| source | physical line | kind | source criterion | |---|---:|---|---| | knowledge-acquisition/progress-curve-construction | 46 | numeric | Minimum yield: 2 progress curves, 3 years history, 1 inflection point, 2 headroom estimates. | | deep-insight/temporal-sensitivity-testing | 12 | structural | Test persistence across the caller-supplied time windows and classify narrowing, widening, or stable. |
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…