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source-command-continue

Continue incomplete work - find gaps, finish features, fix what's broken

معلومات المصدر

المستودع
SylphxAI/flow
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٨ مايو ٢٠٢٦ في ١٩:٤٦
لغة SKILL.md المكتشفة
الإنجليزية
النجوم
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التفرعات
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مراجعة ملفات المصدر

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SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
source-command-continue
description
Continue incomplete work - find gaps, finish features, fix what's broken
# source-command-continue Use this skill when the user asks to run the migrated source command `continue`. ## Command Template # Continue Find what's incomplete. Finish it. ## Mandate * **Think, don't checklist.** Understand the project first. What is it trying to do? What would "done" look like? * **Delegate workers** for parallel research. You synthesize and verify. * **Fix, don't report.** Implement solutions directly. * **One pass.** No deferrals. Complete each fix fully. ## How to Find Incomplete Work Don't grep for TODO and call it done. Incomplete work hides in: **What's explicitly unfinished** — Yes, scan for TODO/FIXME/HACK. But ask: why are they there? What was the person avoiding? **What's implicitly broken** — Code that "works" but: - Fails silently (empty catch blocks, swallowed errors) - Works only in happy path (no validation, no edge cases) - Works but confuses users (unclear errors, missing feedback) - Works but can't be debugged (no logs, no context) **What's missing entirely** — Features referenced but not implemented. UI that leads nowhere. Promises in docs that code doesn't deliver. ## The Real Test For each part of the system, ask: > "If I were a user trying to accomplish their goal, where would I get stuck?" > "If this broke at 3am, could someone figure out why?" > "If requirements changed tomorrow, what would be painful to modify?" > "If we had 100x traffic, what would fall over first?" These questions reveal incompleteness that checklists miss. ## Execution 1. **Understand the project** — Read README, main entry points, core flows. What is this thing supposed to do? 2. **Walk the critical paths** — Trace actual user journeys through code. Where does the path get uncertain, error-prone, or incomplete? 3. **Find the gaps** — Not just TODOs, but: - Dead ends (code that starts something but doesn't finish) - Weak spots (minimal implementation that will break under pressure) - Missing pieces (what's referenced but doesn't exist) 4. **Prioritize by impact** — What blocks users? What causes data loss? What makes debugging impossible? Fix those first. 5. **Fix completely** — Don't patch. Understand root cause. Implement proper solution. Test it works. ## Skills Domain knowledge auto-activates when relevant. Available skills: auth, account-security, privacy, billing, pricing, ledger, security, trust-safety, uiux, seo, pwa, performance, i18n, database, data-architecture, storage, observability, operability, delivery, growth, referral, support, admin, discovery, code-quality ## Loop After fixing: "Did my fixes introduce new gaps? Did fixing X reveal Y was also broken?" If yes → run `/continue` again. If no Critical/High issues remain → done. ## Output ``` ## What I Found [Describe the gaps discovered — not a checklist, but an understanding of what's incomplete and why] ## What I Fixed - [Description of fix and why it matters] ## What Remains - [Issues that need human decision or are blocked] ## Next [/continue again | done] ```
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