workflow-guardrails
Workflow Guardrails
Use this skill for agent operating discipline on real development, analysis, and hybrid projects.
The point is simple: keep the project's durable artifacts current, use sound engineering judgment, and do not fake progress.
First Actions
Before substantive changes:
- Inspect the repo, key docs, and current conventions.
- Determine the mode: development, analysis, or hybrid.
- Identify what must be maintained:
- specs, requirements, designs
- tasks, milestones, workstreams
- feature status or verification status
- project knowledge or documentation
More from kundeng/bayeslearner-skills
analytic-workbench
Use this skill for analytics and data-science workflow setup, exploratory analysis, notebook-first EDA, repo normalization for analysis projects, experiment comparison, AutoML, causal analysis, and promotion from ad hoc exploration into reusable pipelines. Trigger when the user asks for analysis best practices, how to structure an analytics repo, how to organize notebooks and runs, whether to use marimo or Quarto/qmd, how to handle experiment sweeps, how to compare models, or how to make analysis reproducible. Also trigger on phrases such as analytic workbench, EDA, exploratory analysis, notebook workflow, analytics pipeline, reproducible analysis, experiment sweep, hyperparameter comparison, comparison table, marimo, Quarto, qmd, Hamilton, sf-hamilton, dataflow, DAG driver, Hydra, DVC, Kedro, MLflow, AutoML, PyCaret, causal analysis, feature engineering, or model review.
11spec-driven-dev
Spec-driven development: plan → go → review loop with spec lifecycle states and a project-level feature ledger. Use for planning features, implementing from specs, refining specs, tracking what features exist across specs, and resuming work. Trigger on requests mentioning specs, requirements/design/tasks, spec-help, spec-plan, feature ledger, FEATURES.md, spec-ledger, `.kiro`. IMPORTANT: Never edit spec files without first reading this skill.
10design2spec
Convert UI designs into structured JSONC spec packages before code is written, especially for constrained platforms like extensions, dashboards, desktop shells, and mobile apps. Use for design handoff and design-to-spec workflows. Outputs specs, not implementation code.
7wise-scraper
Structured web scraping for AI coders: explore, then exploit with shipped templates, runner, and hooks.
6splunk-platform
Deep skill for Splunk development, administration, SDK/REST integrations, dashboards, UCC add-ons, ITSI automation, SPL2 authoring, and AI-facing tooling. Use for Splunk SDK, REST, jobs/export, SPL, dashboards, packaging, and MCP-backed analysis workflows.
6resume-claude-here
Recover a prior Claude Code session from natural-language hints, search Claude history by topic/date/project, and import the useful context into the current conversation. Use this for Claude session handoff, transcript recovery, context transfer into Codex or another agent, and continuing after Claude hit a usage or rate limit.
6