skills/wsf-discuss-phase/SKILL.md
Gather phase context through adaptive questioning before planning. Use --auto to skip interactive questions (the agent picks recommended defaults). Use --chain for interactive discuss followed by automatic plan+execute. Use --power for bulk question generation into a file-based UI (answer at your own pace).
npx skillsauth add sampx/agent-tools wsf-discuss-phaseInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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How it works:
Output: {phase_num}-CONTEXT.md — decisions clear enough that downstream agents can act without asking the user again
</objective>
<execution_context> @/Users/sam/coding/wopal/wopal-workspace/.wopal/wsf/workflows/discuss-phase.md @/Users/sam/coding/wopal/wopal-workspace/.wopal/wsf/workflows/discuss-phase-assumptions.md @/Users/sam/coding/wopal/wopal-workspace/.wopal/wsf/workflows/discuss-phase-power.md @/Users/sam/coding/wopal/wopal-workspace/.wopal/wsf/templates/context.md </execution_context>
<runtime_note>
Copilot (VS Code): Use vscode_askquestions wherever this workflow calls question. They are equivalent — vscode_askquestions is the VS Code Copilot implementation of the same interactive question API.
</runtime_note>
Context files are resolved in-workflow using init phase-op and roadmap/state tool calls.
</context>
If DISCUSS_MODE is "assumptions": Read and execute @/Users/sam/coding/wopal/wopal-workspace/.wopal/wsf/workflows/discuss-phase-assumptions.md end-to-end.
If DISCUSS_MODE is "discuss" (or unset, or any other value): Read and execute @/Users/sam/coding/wopal/wopal-workspace/.wopal/wsf/workflows/discuss-phase.md end-to-end.
MANDATORY: The execution_context files listed above ARE the instructions. Read the workflow file BEFORE taking any action. The objective and success_criteria sections in this command file are summaries — the workflow file contains the complete step-by-step process with all required behaviors, config checks, and interaction patterns. Do not improvise from the summary. </process>
<success_criteria>
tools
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
development
Workspace-level Git worktree management — create, list, remove, and prune isolated development environments. Use this skill whenever the user needs to create a worktree, set up an isolated workspace, work on multiple features in parallel, list existing worktrees, check what worktrees exist, remove or delete a worktree, clean up stale worktrees, or manage git working trees in any way. Triggers include "create worktree", "new worktree", "list worktrees", "show worktrees", "remove worktree", "delete worktree", "clean up worktree", "prune worktree", "isolated environment", "parallel development", "worktree for <project>", or any request involving git worktree operations.
development
Issue/Plan-driven development workflow. Tasks must be backed by a GitHub Issue or Plan. Trigger: issue references like #14, creating issues, creating plans, implementing plans, executing plans, checking plans, verifying plans, Plan lifecycle transitions (approve/complete/verify/archive), decomposing PRDs into Issues. Skip: spec-driven workflows, research/discussion/explanation only, small ad-hoc changes that don't need an Issue or Plan.
testing
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.