Claude: Workflow

The workflow loop is Research → Plan → Build: Run /last30days [topic] first to ground the plan in current community data. Then /ce:plan, then /ce:work. Example: agent-browser vs Playwright decision informed by 78 Reddit threads + 76 X posts showing 82-93% less context token usage. (from every claude code hack mvanhorn)

Plan files are the checkpoint that survives everything: Context gets lost between sessions? Start a new session, point it at the plan.md, pick up where you left off. 70 plan files and 263 commits. Rule: unless it's literally a one-line change, there's always a plan.md first. (from every claude code hack mvanhorn)

/ce:plan accepts images: Paste screenshots of bugs, error messages, design mockups, or Slack conversations directly into Claude Code with Ctrl+V and run /ce:plan. Claude writes a plan from the image. (from every claude code hack mvanhorn)

Run 4-6 parallel Ghostty sessions: While one session plans, another builds, another researches. Requires bypass permissions — sessions need to run autonomously. (from every claude code hack mvanhorn)

Codex as overflow for token limits: /ce:work --codex delegates implementation to Codex when Claude Max credits ($200/month) run low. Claude for planning, Codex for heavy implementation. (from every claude code hack mvanhorn)

Granola MCP eliminates transcript copy-paste: Claude cross-references meeting transcripts against codebase AND prior strategy plan.md files — compounding context. One-shotted a product proposal from a 90-min lunch transcript. (from every claude code hack mvanhorn)

Plan files work for everything, not just code: Strategy docs, product specs, competitive analysis, articles — same voice → plan → iterate workflow. Compounding context from prior plan.md files. (from every claude code hack mvanhorn)

Parallel experiment execution (910 experiments in 8 hours) achieved 9x speedup over sequential approach, ~$300 compute + $9 Claude API (from parallel gpu autoresearch skypilot)

Agent spontaneously developed emergent optimization: screening on cheaper H100s, promoting winners to H200s — autonomous resource allocation without being told (from parallel gpu autoresearch skypilot)

Run /web-setup to grant scheduled tasks access to repos (Pro and Max plans) — tasks run on cloud infrastructure so local machine doesn't need to be running (from claude code scheduled tasks web setup)

Scheduled tasks accept a repo, cron schedule, and prompt to define recurring jobs — fully async cloud execution (from claude code scheduled tasks web setup)

Multiple Claude Code instances can be connected via inter-process messaging — one session can ask clarifying questions of another session working on related code (from claude code inter instance messaging)

First principles prompting: key phrase "strip each assumption away" forces layer-by-layer analysis; template is "Break [topic] down using first principles thinking. Start by identifying every assumption... Rebuild from only what remains" (from first principles prompt technique)

Dispatch enables directing coding work from anywhere — mental model is not "grind during gaps" but "design your day differently because work runs without you" (from dispatch async day design)

Claude Code workspaces can be purpose-built for non-engineering workflows like SEO content creation — packaging a workspace as a shareable repo (CLAUDE.md + skills + tooling) creates a reusable "job template" others can clone (from claude code seo workspace)

A three-step video-to-UI workflow: (1) record video of target UI, (2) upload to Claude to get a markdown description, (3) feed markdown to Claude Code to build it — using video bypasses the vocabulary bottleneck in describing UI components (from video to ui claude workflow)

The intermediate markdown artifact between vision and code gives the human a checkpoint to review the AI's understanding before committing to implementation (from video to ui claude workflow)

Task prompts should define the end state rather than the process, include uncertainty handling ("flag it instead of guessing"), and batch related tasks into a single session (from claude cowork context architecture checklist)

Subagents can handle parallel work within Cowork: "spin up subagents to research these 4 vendors simultaneously" (from claude cowork context architecture checklist)

An agent-first engineering mandate ("delete your IDE, stop writing code") forces teams to rethink entire workflows rather than incrementally adopting AI tools alongside existing habits (from chintan agent first engineering)

Engineering value shifts to "upstream intent" (knowing what to build and why) and "downstream validation" (verifying correctness), with agents handling the implementation middle layer (from chintan agent first engineering)

Multi-month projects shipping in approximately one day suggests the bottleneck was always implementation speed, not design or decision-making — agents remove that bottleneck (from chintan agent first engineering)

Creating paired Claude Code skills with different personas — one expansive (CEO-like) and one detail-oriented (eng manager-like) — lets you toggle between divergent and convergent thinking within the same workflow (from garry tan mega exit plan skill)

Running expansive and realistic skills back-to-back is an effective two-pass pattern: first generate ambitious possibilities, then pressure-test them with practical constraints (from garry tan mega exit plan skill)

A CPO at Pendo ($2.6B company) uses a single Claude Code command to plan his entire workday, suggesting Claude Code has matured beyond coding into general work orchestration (from claude code daily workflow vibePM)

Power users are choosing Claude Code's terminal-based workflow over GUI editors like Cursor, valuing composability and scriptability over visual convenience (from claude code daily workflow vibePM)

Claude Code /loop command enables non-technical business professionals to set up recurring agentic tasks with a simple cadence + task prompt — no coding required (from claude code loop business use cases)

Meeting prep loop (every 30min) that pulls attendee context, Slack threads, CRM notes, and emails before each meeting is a high-value pattern for managers and account executives (from claude code loop business use cases)

The "watch everything and proactively flag actions" pattern represents the most ambitious loop use case — a unified monitoring agent across email, Slack, CRM, and calendar (from claude code loop business use cases)

Claude Code can generate "Dives" — highly interactive data visualizations including pivot tables — from a single prompt, collapsing the traditional data prep → tool selection → chart building workflow into one step (from claude code data viz dives)

A CEO reports Claude Code as AI Chief of Staff roughly doubles productivity by unifying 6+ inboxes, managing overnight todo lists, and enriching contact records from Granola meeting transcripts (from ceo ai chief of staff claude code)

The "multiplayer todo list that works overnight" pattern represents async agent work — the AI processes the queue while the human sleeps, then the human reviews and reprioritizes in the morning (from ceo ai chief of staff claude code)

The "AI Chief of Staff" framing positions Claude Code not as a developer tool but as an executive productivity layer, with the agent pushing back on decisions and aligning time to goals (from ceo ai chief of staff claude code)

Claude Code is being used as a full outbound sales platform: 11 APIs, 72 automation scripts, handling campaign strategy, list building, and outreach — storing domain expertise in Skills files rather than hardcoding workflows (from claude code outbound sales agents)

Claude Code serves as a prototyping playground for agent systems before migration to Claude Agent SDK for headless production deployment — a "Claude Code to Agent SDK" pipeline is emerging (from claude code outbound sales agents)

Taskmaster enables multi-day continuous Claude Code sessions; the vast majority of users code less than 40 minutes/day, meaning long-running sessions represent a qualitatively different workflow requiring task management infrastructure (from taskmaster claude code marathon)

The /handover slash command solves session amnesia: Claude generates a summary of decisions, pitfalls, and lessons learned when the context window fills up, preserving institutional knowledge for the next session (from claude code handover command)

Audio notifications for Claude Code task completion solve a real workflow problem — developers kick off tasks and context-switch, needing an ambient signal when the agent finishes (from warcraft peon claude notifications)

Specialized harnesses (designer, marketer, etc.) compound in value as skills accumulate; the shift from generalist to specialist harnesses mirrors vertical specialization outperforming horizontal generalization (from claude code designer harnesses)

A practical meeting prep pipeline: cron trigger → calendar API → parallel research (Exa + Perplexity) → Claude formatting → email delivery, demonstrating Claude Code's strength as an API orchestration layer (from meeting prep tool claude code)

Claude Code's biggest UX pain for power users is premature task termination during long runs; Taskmaster monitors and forces resumption, acting as a "meta-agent that supervises the agent" (from taskmaster claude code persistence)

The overnight autonomous coding workflow (plan, kick off, sleep, review in morning) is becoming a standard power-user pattern, but its value depends entirely on task completion reliability (from taskmaster claude code persistence)

Claude Code is being used as an intelligent query layer on top of Linear: natural language queries about sprint velocity, cross-referencing tickets with GitHub to infer blockers, and back-solving point estimates into personalized hours per person (from claude code linear project management)

Adding "research the industry-standard approach to this problem, use it to guide yours" to prompts forces Claude to ground solutions in established patterns, reducing novel-but-fragile implementations (from claude code research industry standard)

Claude is being positioned as a content strategy tool replacing $2K/month ghostwriters — a shift from using AI for one-off writing to strategic editorial planning (from claude content strategy prompts)

Claude generates full PowerPoint presentations in under 5 seconds, collapsing the time-to-output for traditionally tedious knowledge work (from claude powerpoint generation)

Cowork with GSuite and Slack connectors enables Claude to automatically generate weekly status updates by scanning channels and schedule focus blocks based on calendar — proactive time-management agents (from cowork gsuite slack workflows)

The Claude Code creator interview crossed from dev tool into broader product consciousness, with product leaders recommending it as a "masterclass" (from claude code masterclass aakash)

Feynman (Claude-based) generates a cited meta-analysis from a research question in 30 minutes, replicates experiments on Runpod, audits claims against code, and simulates peer review (from feynman claude code for research)

Four-category task classification for AI automation: green (AI handles fully), yellow (AI preps 80%), red (needs human brain), gray (not actionable today) — creates clear human-AI boundaries (from jimprosser chief of staff claude)

The bigger productivity win from AI automation is cognitive load reduction, not time savings — starting the day in "decision mode" instead of "gathering mode" eliminates low-grade anxiety (from jimprosser chief of staff claude)

Stream Deck + Claude Code creates a physical interface for complex AI workflows — pressing a button triggers multi-agent orchestration (from jimprosser chief of staff claude)

AI Chief of Staff cost asymmetry: $5-10/month replaces $400-1000/month of virtual assistant work, with instant access to transcripts, email, and knowledge base (from jimprosser chief of staff claude)

Use @steipete's 'oracle' tool to bundle code and research papers, create an optimized prompt for GPT-5.4 Pro, and capture results back in your coding agent's terminal (from optimizing academic work with gpt 5.4 pro and coding agents)