lab-tools
18
multi-sensor-timesync
ๅคไผ ๆๅจๆถ้ดๅๆญฅๆ่ฝ - ็กฌไปถๅๆญฅใ่ฝฏๅๆญฅใNTPใROS2 ๆถ้ดๅๆญฅ
MIUAV
research
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lab-tools
18
manual-testing
Use this skill when you need to plan manual or exploratory testing with charters, heuristics, and session records; triggers include manual testing and exploratory testing.
naodeng
research
lab-tools
17
music-assistant
Control Home Assistant Music Assistant - browse library, search, play, manage preferences and moods.
diegosouzapw
research
lab-tools
17
ml-experiment-tracking
Track machine learning experiments with reproducible parameters and metrics
diegosouzapw
research
lab-tools
17
chemical-equation-balancing-and-atom-counting
A skill to count atoms in chemical equations, determine if they are balanced, and balance unbalanced equations by adding coefficients.
diegosouzapw
research
lab-tools
17
improving-tests
Sequential test improvement โ scan test structure, identify gaps (missing edge cases, non-table-driven tests), refactor to table-driven or parametrized form, add missing coverage, and verify tests pass after each change.
alexei-led
research
lab-tools
17
experiment-loop
Weekly experiment tracking loop for MD Home Care. Scans content changes, measures traffic impact via PostHog and GSC, and makes keep/iterate/revert decisions with lag-adjusted attribution.
diegosouzapw
research
lab-tools
17
rlhf-feedback
Autonomous RLHF feedback capture - Claude self-captures mistakes and successes
diegosouzapw
research
lab-tools
17
implementing-observability
Instrument the application with Logging, Metrics, and Tracing (OpenTelemetry) to understand system behavior and debug production issues.
diegosouzapw
research
lab-tools
17
data-quality-monitoring
Data Quality (DQ) Monitoring is the continuous process of validating data against predefined rules and expectations. In a modern data stack, monitoring must happen at every stage: **Ingestion**, **Tra
diegosouzapw
research
lab-tools
17
data-quality-checks
Data Quality Checks are automated tests that validate data against predefined rules and expectations. They act as the "unit tests" for data, catching issues before they propagate downstream to analyti
diegosouzapw
research
lab-tools
17
scaffold-bulk-review-prototypes
Review all prototypes at once for cross-prototype consistency, coverage gaps, ADR follow-through, and scope discipline. Use for a full audit of all prototypes.
diegosouzapw
research
lab-tools
17
conductor-validator
Validates Conductor project artifacts for completeness, consistency, and correctness. Use after setup, when diagnosing issues, or before implementation to verify project context.
diegosouzapw
research
lab-tools
17
analytics-tracking
๏ผไธญๆ๏ผWhen the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," or "tracking plan." For A/B test measurement, see ab-test-setup.
diegosouzapw
research
lab-tools
17
test-framework-3
A skill that serves as a guide to the right way to set up tests in various languages.
ZackKorman
research
lab-tools
16
farming-expert
Expert-level precision agriculture, farm management systems, crop monitoring, and agtech
personamanagmentlayer
research
lab-tools
16
orchestrator-test-monitor
Monitor and evaluate orchestrator test execution plans end-to-end. Use when the user wants to run a test execution plan from docs/showcases/, observe the orchestrator's full-pipeline processing, and get a final assessment. Triggers on: "run test plan", "execute plan", "monitor orchestrator", "test the orchestrator", "run execution plan", "run showcase", or any request to observe/evaluate orchestrator behavior on a showcase plan. This skill is OBSERVE-ONLY โ never intervene in the orchestrator's execution.
c9r-io
research
