Project Management

unified-notifications-ops is an ECC-native skill for unifying GitHub, Linear, desktop, hook, chat, and email alerts into one operator lane. Use it to define routing, severity, ownership, deduplication, escalation, and follow-up action instead of scattered pings.

ralphinho-rfc-pipeline is an RFC-driven multi-agent workflow skill for splitting large features into verifiable units, validating each step, and merging with integration checks. It is ideal for ralphinho-rfc-pipeline for Multi-Agent Systems, refactors, schema changes, auth, perf, and security work.

project-flow-ops helps manage GitHub and Linear execution flow by triaging issues, PRs, reviews, and CI signals, then deciding what should merge, close, rebuild, or move into Linear. Use the project-flow-ops skill for Issue Tracking, backlog triage, PR cleanup, and GitHub-to-Linear coordination.

product-capability turns PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan with constraints, invariants, interfaces, and unresolved decisions. Use it for Requirements Planning when multi-service work needs a durable product-capability skill artifact instead of vague planning prose.

opensource-pipeline helps turn a private project into a public-ready repository through a 3-stage workflow: fork, sanitize, and package. Use the opensource-pipeline skill to strip secrets, verify cleanup, and generate CLAUDE.md, setup.sh, and README for a safer GitHub release.

messages-ops is an evidence-first skill for live messaging tasks: read texts or DMs, recover a recent one-time code, inspect a thread before replying, and verify which source was actually checked. It fits messages-ops for Workflow Automation when source routing and proof matter more than guessing.

The logistics-exception-management skill helps handle freight delays, damage, loss, refusals, disputes, and claims with structured escalation, evidence review, and customer-ready next steps. Built for issue tracking and operational decision-making, it fits logistics teams that need repeatable guidance instead of a generic prompt.

The jira-integration skill helps an AI agent fetch Jira issues, extract requirements, add comments, change status, and link work back to tickets. It supports MCP via mcp-atlassian or direct Jira REST calls, making it useful for teams that want practical Jira issue tracking inside a coding workflow.

inventory-demand-planning is a retail decision-support skill for forecasting demand, setting safety stock, planning replenishment, and estimating promotional lift across stores and DCs. Use it to guide inventory-demand-planning usage with structured inputs, practical constraints, and clearer planning tradeoffs.

customs-trade-compliance is a trade compliance skill for customs documentation, HS/HTS classification, duty planning, restricted party screening, and Compliance Review. It helps users turn shipment facts into defensible import/export decisions with less guesswork than a generic prompt.

brainstorming is a pre-implementation skill that explores context, asks clarifying questions one at a time, and requires design approval before any code. Includes an optional visual companion and strong support for Requirements Planning.

writing-plans helps turn a spec or requirements doc into a detailed implementation plan with file-level guidance, task sequencing, testing steps, and a review prompt before coding starts.

executing-plans helps agents follow a written implementation plan: review it first, execute tasks in order, run specified checks, stop on blockers, and hand off to a finishing workflow. Best for Project Management and other plan-led delivery.

sprint-planner is a lightweight skill for turning backlog ideas into a structured sprint plan with story points, capacity, sprint goals, risks, and a definition of done. Best for Scrum and Agile teams that want a repeatable planning format without extra tooling or integrations.

project-planner is an AI skill for turning project ideas into executable plans with deliverables, task breakdowns, dependencies, milestones, estimates, and risk-aware sequencing. It is self-contained in SKILL.md and best for scoping work, building WBS-style plans, mapping critical paths, and creating first-pass delivery plans from clear goals and constraints.

retro is a project retrospective skill for engineering teams. It analyzes commit history, work patterns, and prior learnings to generate a structured weekly retro with continuity. Use retro for sprint reviews, what did we ship questions, and Project Management check-ins.

Triage is a GitHub issue-triage skill for moving incoming bugs and feature requests through a role-based state machine. Use it to classify issues, decide whether more information is needed, route work to an AFK agent or a human maintainer, and keep issue handling consistent. It is a practical triage skill for Issue Tracking.

to-issues turns a plan, spec, or PRD into independently-grabbable issue-tracker tickets using tracer-bullet vertical slices. Use the to-issues skill when you need execution-ready breakdowns, clear sequencing, and AFK vs HITL issue separation for issue tracking.

qa is an interactive QA skill for turning conversational bug reports into durable GitHub issues. It helps the agent ask a few targeted questions, explore the codebase for context and domain language, and write user-focused issues without implementation details. Use qa for Issue Tracking when you need a clear issue from a messy report.

context-driven-development helps create and maintain Conductor project context artifacts like product.md, tech-stack.md, workflow.md, and tracks.md so AI-assisted development stays consistent across sessions and codebases.

The track-management skill helps teams create, manage, and complete Conductor tracks with spec.md, plan.md, lifecycle metadata, and tracks.md workflow guidance.

task-coordination-strategies helps teams decompose complex work, map dependencies, define acceptance criteria, and coordinate parallel agent or contributor workflows with clearer ownership and fewer merge conflicts.

gws-workflow is a Google Workspace automation layer for the gws CLI. Use it to build repeatable cross-service workflows for meeting prep, standup summaries, email-to-task conversion, and Drive-to-Chat announcements. Install it with the shared auth layer and use schema discovery before execution.

gws-classroom manages Google Classroom courses, rosters, invitations, registrations, and coursework through the gws CLI. Use this gws-classroom guide for repeatable admin and support workflows, especially for Education tasks that need clear IDs, ownership, and permission checks.