DeepKlarity
Official@deepklarity · Bangalore
Offers diagnostic and auditing frameworks for monorepo maintenance, root-cause analysis, and agent-native architecture verification.
Agent Skills by DeepKlarity
Showing 14 vetted skills indexed across 1 GitHub repositories.
deepklaritydk-merge-resolve
Diagnose git merge, rebase, cherry-pick, or stash pop conflicts and guide resolution.
deepklaritydk-compound
Extract conversation learnings into structured documents in docs/.
deepklaritydk-local-mock-first-approach
Coordinate mock-first feature development with tracker.md and layer boundaries.
deepklaritydk-local-logs
Locate and read backend, frontend, celery, odin, or task execution logs to diagnose harness-kit errors.
deepklaritydk-local-run-spec
Plan, review, and execute Odin specs locally with environment setup and diagnostics.
deepklaritydk-slop-audit
Scan codebases for misplaced files, dead code, temp files, and security/config slop; generate prioritized P0-P4 reports with guidance for P0-P2 items.
deepklaritydk-breadcrumb-creator
Trace workflows through the harness-kit monorepo and generate FLOW.md, DETAILS.md, and DEBUG.md.
deepklaritydk-loop-audit
Audit AI agents' autonomous loop closure from symptom discovery to verified fix.
deepklaritydk-rca
Guide seven-step root-cause analysis from reproduction through documentation.
deepklaritydk-local-follow-breadcrumb
Load breadcrumb workflows to map user questions before code exploration.
deepklaritydk-agent-native-audit
Audit codebases against eight agent-native architecture principles with parallel sub-agents.
deepklaritydk-close-the-loop
Automate iterative refinement of AI outputs with an observe-hypothesize-change-rerun loop.
deepklaritydk-changelog
Generate changelog entries from git changes and prepend them to CHANGELOG.md.
deepklaritydk-local-inspect
Run local diagnostic scripts to inspect tasks, specs, boards, and reflections.
Frequently Asked Questions About DeepKlarity
FAQPage SchemaWhat specific tasks can engineers perform using DeepKlarity?▼
Engineers can perform systematic root-cause analysis, resolve complex git conflicts, audit codebases for security or configuration slop, and verify adherence to agent-native architecture principles. These capabilities facilitate structured documentation of technical findings and iterative refinement of system outputs.
Which personas benefit most from these diagnostic capabilities?▼
Senior software engineers, technical leads, and site reliability engineers working within complex monorepo environments benefit most. These capabilities are designed for teams managing harness-kit architectures who require rigorous diagnostic tracing, log inspection, and standardized documentation for system maintenance.
What are the prerequisites for implementing these diagnostic routines?▼
Implementation requires a local environment configured for the target monorepo, specifically supporting Odin specs and harness-kit structures. Users must have git access and local execution permissions to run diagnostic routines, inspect logs, and generate the required documentation files like FLOW.md and DEBUG.md.