Results for “sequences”

Outbound email-marketing desk (Busabase App-in-Skill) for building segments, drafting campaigns, newsletters, and sequences, running pre-send deliverability and subject-line QA, and approving every send before it is scheduled. Structured around the SEND discipline — Setup, Engage, Nurture, Deliver — with an email-quality-auditor gate (EQS score + SHIP/FIX/BLOCK verdict). Use when the user invokes $kelly-campaigns or /kelly-campaigns, or mentions email marketing, campaigns, newsletters, drip/welcome/win-back sequences, broadcasts, segments, subject-line A/B tests, deliverability (SPF/DKIM/DMARC/spam score/inbox placement), or wants to review and approve marketing email before it is sent. This is OUTBOUND marketing to a subscriber list, distinct from kelly-email inbox triage (incoming mail). 出站邮件营销：策划分群、起草营销活动 / 新闻邮件 / 邮件序列，发送前做可送达性与主题行质检，人工审批后再排期发送。

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Generates account research briefs, personalized outreach sequences, persona-specific talk tracks, and objection handling frameworks for B2B SaaS BDR teams. Use when preparing BDR outreach for target accounts, building prospecting sequences, creating call scripts, developing objection responses, onboarding new BDRs, or reviewing outreach performance. Also use when asked to "write outreach emails," "build a prospecting sequence," "create a call script," "handle objections," or "research an account for outreach." Designed for BDR teams selling compliance, security, and GRC platforms to mid-market and enterprise buyers with multi-persona buying committees.

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Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner. Use when comparing two sequences, finding optimal alignments, scoring similarity, and identifying local or global matches between DNA, RNA, or protein sequences.

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Identify section boundaries and content sequences within a scraped webpage for AEM Edge Delivery Services import. Performs two-level analysis (sections, then sequences per section) and surveys available blocks.

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Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner. Use when comparing two sequences, finding optimal alignments, scoring similarity, and identifying local or global matches between DNA, RNA, or protein sequences.

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Identify section boundaries and content sequences within a scraped webpage for AEM Edge Delivery Services import. Performs two-level analysis (sections, then sequences per section) and surveys available blocks.

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Turns concepts, processes, and software architecture into diagram files. Choose a standalone HTML file containing SVG for browser viewing, or an editable Excalidraw whiteboard for flowcharts, sequences, and architecture sketches.

• Illustrating concepts for learning materials
• Mapping a process as a flowchart
• Drawing software and cloud architecture

Plan manufacturing jobs around available machines, operators, materials, and delivery dates. Use bottleneck analysis, changeover planning, and workload balancing to compare production sequences and revise schedules when breakdowns, shortages, or absences disrupt the plan.

• Sequence jobs competing for limited equipment
• Revise production schedules after equipment breakdowns
• Compare batch sizes and changeover costs

Plan product launch campaigns from audience research and positioning through landing pages, emails, social posts, ads, and short video scripts. Build a daily content calendar and review messaging for consistent tone, clear actions, and supportable claims.

• Planning a product or feature launch
• Creating campaign copy from one product brief
• Coordinating messaging across channels

Compare ambiguous choices through four advisory perspectives covering long-term consequences, assumptions, practical execution, and failure risks. The skill presents each position, highlights the strongest disagreement, and combines the findings into a recommendation for the decision.

• Deciding whether to release now or wait for improvements
• Comparing a gradual rollout with a full rollout
• Choosing between reducing scope and retaining broader goals

Record software design decisions as numbered Markdown files, with context, rejected alternatives, benefits, drawbacks, and risks. Maintain an index and consult existing ADRs—architecture decision records—to explain why a framework, database, or design approach was chosen.

• Record reasons for framework or database choices
• Document design alternatives and trade-offs
• Find explanations for past technical decisions

Build an Excel workbook showing how an acquisition changes earnings per share. Organize purchase price, funding, and synergy assumptions, compare deal scenarios, calculate the synergies needed to avoid reducing earnings per share, and prepare a concise summary.

• Estimating an acquisition's impact on earnings per share
• Comparing cash and stock payment scenarios
• Testing purchase premiums and synergy assumptions

Integrate Flash Attention into Transformer models to speed up attention, the calculation that relates input elements, while reducing GPU memory use. Covers PyTorch integration, performance measurement, output comparison, and a separate H100 optimization path.

• Optimize training with long input sequences
• Reduce memory use during long-context inference
• Measure speed and compare model outputs

Turn written requirements or Mermaid diagram text into interactive HTML diagrams of systems, workflows, sequences, data flows, and states. Explore connections, search the diagram, export images or video, and receive results from nine validation checks.

• Explain a system's architecture with an interactive diagram
• Visualize workflows and data flows
• Convert Mermaid diagrams into explorable HTML

Convert videos and images into colored character art, or create animations that react to music. Add lyrics or text, combine visual effects across scenes, and export the result as MP4, GIF, or image sequences.

• Convert footage into colored character art
• Create a music-reactive visualizer
• Make a video with timed lyrics

Review a codebase for bugs, security risks, failures under expected load, missing tests, slow paths, and unnecessary code. Receive prioritized findings with concrete failure cases, small proposed fixes, and the consequences of leaving each issue unresolved.

• Assess the quality of an inherited codebase
• Find risks under expected concurrent usage
• Identify unnecessary code and dependencies

Review code changes for bugs, security risks, failures under expected usage, missing tests, slow paths, and unnecessary code. Receive prioritized findings with concrete failure cases, small fixes, and the consequences of leaving each issue unresolved.

• Review a pull request before merging
• Check uncommitted changes for bugs and risks
• Find missing tests for risky logic

Audit an entire code repository or a selected folder for bugs, security risks, load problems, missing tests, slow paths, and excess code. Get up to 20 prioritized findings explaining concrete problems, minimal fixes, and consequences.

• Assess the quality of an inherited codebase
• Find security and load risks across a project
• Identify code to delete, merge, or split

Review code changes and connected code for bugs, security risks, load problems, missing tests, slowdowns, and unnecessary complexity. Get prioritized findings with concrete failure scenarios, small fixes, and the consequences of leaving each issue unresolved.

• Review a pull request or the latest commit
• Check for security and data loss risks
• Find failures under expected load and gaps in tests

Build a narrative project history from records stored in claude-mem. The report traces architectural changes, breakthroughs, debugging efforts, and work patterns, with timeline statistics and estimates of token savings from reusing recorded knowledge.

• Reviewing a project's development history
• Tracing architectural decisions and their consequences
• Examining recurring debugging and work patterns

Modernize the claude-flow v3 command-line interface by splitting large command files, adding interactive prompts, connecting hooks that run on execution events, and organizing multiple commands into automated workflows with progress reporting.

• Splitting large command files into focused modules
• Adding interactive setup prompts
• Recording command results through execution hooks

Build agent memory with ReasoningBank and AgentDB. Record actions and outcomes, retrieve similar experiences, assess results, and consolidate memories into reusable patterns so agents can draw on past work when making decisions.

• Build agent memory that reuses past experiences
• Record and assess sequences of agent actions
• Consolidate similar experiences into reusable patterns

Extract and verify text, numbers, objects, and sequences from images, documents, and video. Record where each finding appears, check exact labels and values, and build answers whose supporting evidence can be traced back to the input.

• Extracting and checking numbers in documents
• Tracing video events to timestamps
• Reading and verifying labels in images

Evaluate substantial software changes against the actual problem, current system, and concrete users or components that need them. Choose a sufficient scope, assess consequences, and, when implementation is requested, make the change and verify its behavior.

• Assessing whether a feature proposal is needed
• Reducing the scope of a refactor or migration
• Checking who needs a proposed API or data field