askill
synaptiai

synaptiai

Publisher on askill

37 total stars
Skills27
Updated 3/12/2026
GitHub
tdd-patterns
tdd-patterns
synaptiai3/12/2026

Guide test-driven development through the Red-Green-Refactor cycle, test quality standards, and test runner discipline. Enforce test-first when tddMode is 'enforce'. Use when implementing features or...

0
AI 91
pr-lifecycle
pr-lifecycle
synaptiai3/12/2026

Create pull requests with pre-flight verification, PR body generation, reviewer suggestion, comprehension narrative, and label selection. Handle push and PR creation as Tier 2 operations. Use when pre...

0
AI 90
criterion-verification-map
criterion-verification-map
synaptiai3/12/2026

Map each acceptance criterion to a specific verification method, collect evidence during verification, and produce a structured evidence bundle for the verdict judge. Use when verifying implementation...

0
AI 88
architecture-patterns
architecture-patterns
synaptiai3/12/2026

Guide system design decisions including design-from-functionality, coupling analysis, and C4 model thinking. Use when designing systems, evaluating structural changes, or reviewing architecture decisi...

0
AI 82
feedback-resolution
feedback-resolution
synaptiai3/12/2026

Address PR review feedback through focused surgical changes with Boy Scout Rule, feedback context recovery, ambiguity handling, pushback criteria, and re-review request patterns. Use when resolving re...

0
AI 78
debugging-patterns
debugging-patterns
synaptiai3/12/2026

Isolate root causes through structured log analysis, hypothesis testing, and fix validation to prevent symptom-fixing and tunnel vision. Use when any verification step fails, tests break, or debugging...

0
perspective-validation
perspective-validation
synaptiai2/4/2026

Create a Perspective Validation Checklist (PVC) report for a change, workflow, schema, or policy. Use when performing socio-technical review, governance review, operational readiness review, or when a...

3
AI 75
inquire
inquire
synaptiai2/4/2026

Request clarification when input is ambiguous. Use when user request has missing parameters, conflicting interpretations, or insufficient constraints for reliable execution.

2
AI 95
explain
explain
synaptiai2/4/2026

Produce clear reasoning with assumptions, causal chains, and evidence. Use when clarifying decisions, teaching concepts, justifying recommendations, or documenting rationale.

2
AI 94
detect
detect
synaptiai2/4/2026

Determine whether a specific pattern, entity, or condition exists in the given data. Use when searching for patterns, checking existence, validating presence, or finding signals.

2
AI 94
predict
predict
synaptiai2/4/2026

Forecast future states or outcomes based on current data and trends. Use when estimating future values, projecting trajectories, forecasting outcomes, or anticipating system behavior.

2
AI 93
generate
generate
synaptiai2/4/2026

Create a new artifact (text, code, plan, data) under specified constraints. Use when producing content, writing code, designing solutions, or synthesizing outputs.

2
AI 93
ground
ground
synaptiai2/4/2026

Anchor claims to evidence from authoritative sources. Use when validating assertions, establishing provenance, verifying facts, or ensuring claims are supported by evidence.

2
AI 93
delegate
delegate
synaptiai2/4/2026

Split work across subagents with explicit contracts, interfaces, and merge strategies. Use when parallelizing tasks, distributing workload, or orchestrating multi-agent workflows.

2
AI 92
receive
receive
synaptiai2/4/2026

Ingest and parse incoming messages, events, or signals into structured form. Use when processing external inputs, handling API responses, parsing webhook payloads, or ingesting sensor data.

2
AI 92
rollback
rollback
synaptiai2/4/2026

Safely undo changes by restoring to a checkpoint. Use when verify fails, errors occur, or explicit undo is requested. Essential for the CAVR pattern recovery.

2
AI 92
synchronize
synchronize
synaptiai2/4/2026

Merge outputs from multiple sources, resolve conflicts, and reconcile constraints into a unified result. Use when combining parallel agent outputs, merging data from different systems, or reconciling...

2
AI 91
measure
measure
synaptiai2/4/2026

Quantify values with uncertainty bounds. Use when estimating metrics, calculating risk scores, assessing magnitude, or measuring any quantifiable property.

2
AI 91

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