Explore skills

66,741 skills found

orient

0

Quick orientation for a new session — shows system overview, current state, and available actions.

Dados e Análise#aiby opendatadiscovery

panel

0

Run the methodology meta-review — a single methodology-reviewer agent that traces the whole current methodology (APPROACH.md, the ADRs, the agent contracts, the skills, the playbooks, the case-law, the live artefacts), diffs against the prior review, runs fresh blind spot-checks against real source, and emits real gaps + improvement proposals at lineage/{repo}/meta-reviews/{date}/review.md. `/pane

Dados e Análise#aiby opendatadiscovery

probe-define

0

Generate probe-skeleton YAML files at `lineage/{repo}/probes/{P-NNN}.yaml` from `feature-flows.yaml`'s uncovered test-matrix cells. Each skeleton carries the feature_id + test_class + cross-references + a TODO-marked arrange/act/observe/assert block the maintainer fills in. Accelerates probe corpus growth — slice 4 of dynamic-verification ADR. Local-only per APPROACH.md section 5 rule 12.

Dados e Análise#ai#testby opendatadiscovery

probe-run

0

Run one or more dynamic-verification probes against a local ephemeral docker-compose mirror of the target system. Captures observation traces as committed artefacts at `lineage/{repo}/probe-runs/{date}-{probe_id}.yaml` and merges measured values back into `feature-flows.yaml`, `test-map.yaml`, and per-sidecar `confidence_per_field` annotations. Local-only execution per APPROACH.md section 5 rule 1

Dados e Análise#ai#testby opendatadiscovery

probe

0

Run the probe-driven validation rounds for the agentic ontology — Type 4 (adversarial — capability-negation / cross-product-fabrication / synonym-swap-with-negation, ≥2 of 3 PASS) and Type 6 (implicit-ADR confirmation — maintainer writes 5 ADRs they know are followed; ≥3 of 5 must surface in implicit-adrs.md top-10). Both rounds are MAINTAINER-AUTHORED; this skill is the protocol mechanics, not th

Dados e Análise#aiby opendatadiscovery

reflect-feature

0

Run the feature-reflector subagent (Layer 4b — top-down product-owner reflection) over one composed feature flow. Produces `lineage/{repo}/feature-reflections/detail/{F-NNN}.yaml` with a stepped-back product-owner narrative + 5-15 falsifiable user-facing hypotheses + per-hypothesis verdicts (confirmed / contradicted / partial / probe-needed) traced through the implementation chain. Contradictions

Dados e Análise#aiby opendatadiscovery

retrieve

0

Run the graph-retriever subagent — intelligent, iterative retrieval over the derived graph query layer. The maintainer asks a free-form information-need question ("where is X", "what depends on Y", "which findings concern Z"); the agent constructs a strong query, runs a bounded retrieve→read→judge→refine loop (≤10 iterations) with adaptive traversal, and returns a cited answer set. Emits substrate

Dados e Análise#aiby opendatadiscovery

review

0

Verify a `review-ready` work item (or an entire batch) meets every acceptance criterion and every Quality Bar gate. Reject by default — each check requires cited evidence. Must run in a session distinct from the `/implement` session that produced the item.

Dados e Análise#aiby opendatadiscovery

scan

0

Run an audit scanner against ODD repositories. Reads scanner definition, picks unscanned items from coverage manifest, writes findings, updates navigation.

Dados e Análise#aiby opendatadiscovery

status

0

Show current progress of the audit and implementation system — scanner completion, backlog counts, blockers.

Dados e Análise#aiby opendatadiscovery

test-coverage

0

Run the test-coverage-mapper reducer subagent over the per-node enrichment sidecars + actual test files in the target repo. Verifies sidecar-claimed test files exist; surfaces uncovered behaviours as TEST-GAP-NNN candidates ranked by node criticality (anchored on concepts.yaml's security/performance aggregates); cross-references with `doc-gaps.md` for double-jeopardy findings (undocumented AND unt

Segurança#ai#testby opendatadiscovery

triage

0

Convert raw scanner findings into atomic work items in the backlog. Assigns priority, category, effort, and identifies file conflicts.

Dados e Análise#aiby opendatadiscovery