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96 Claude Code skills authored by vibesec-advisory.

updated 2026-07-06 · showing 1–60 of 96 by quality score

Average Pro QualityScore: 70.0/100

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Use when a mutual action plan needs internal risk, blocker, dependency, or slippage visibility before buyer-facing recap.
Use when technical details, integrations, data requirements, environments, or blockers could affect POC feasibility or customer expectations.
Use when a repeated failure, review note, exception log, or agent self-review proposes changing memory, a Skill, a workflow, or an automation rule.
Use when approved playbook guidance needs seller practice scenarios, objection prompts, discovery drills, or manager-reviewed coaching exercises.
Use when sales promises, buyer expectations, assumptions, and unsupported notes need separation before implementation begins.
Use when CS or AE needs expansion ideas based on reviewed evidence, fit, and customer value without wishful thinking or pressure tactics.
Use when an AI-generated plan, draft, answer, or recommendation needs a human checkpoint that preserves judgment before the output becomes workflow state.
Use when product, methodology, competitor, customer, roadmap, ROI, or compliance claims need source support before playbook refresh.
Use when an agent workflow needs retry limits, replanning limits, stop conditions, escalation triggers, and irreversible-action locks.
Use when a model, prompt, Skill, tool, MCP server, source, egress rule, trace rule, retention rule, approval path, or runtime changes what an agent can see, reach, log, reuse,…
Use when MAP milestones may require legal, security, procurement, implementation, finance, or executive review before customer sharing.
Use when audience logic, suppression rules, consent status, send eligibility, or list-source evidence must be checked before campaign launch.
Use when vague POC goals need to become measurable pass, partial-pass, fail, or blocked criteria with owners and evidence requirements.
Use when outbound account, segment, contact, or trigger fit must be assessed before a BDR writes, sends, sequences, or escalates outreach.
Use when a first implementation kickoff agenda must be grounded in confirmed commitments, known risks, open questions, and approval gates.
Use when raw campaign briefs, segment notes, lists, launch tickets, or personalization ideas need screening before AI-assisted campaign QA starts.
Use when a human reviewer needs the evidence packet for approving, rejecting, or escalating an agent action.
Use when competitive deal notes need to be reframed around buyer requirements, decision criteria, risk, and source confidence instead of vendor dunking.
Use when an agent, connector, MCP server, browser profile, repository workflow, or automation needs scoped permissions before tool access.
Use when reviewed sales-to-implementation handoff context needs to be saved into CRM or project systems while excluding sensitive details, unsupported commitments, and internal…
Use when a seller reports competitor context, buyer claims, or market comparison notes that need safe intake before analysis or external response.
Use when raw opportunity notes, buyer goals, data needs, integration asks, or demo requests need screening before AI-assisted POC planning starts.
Use when discovery findings need to be saved into CRM as useful context while excluding sensitive details, unsupported claims, and negotiation strategy.
Use when redacted discovery notes, transcripts, or meeting fragments need to become structured facts, assumptions, open questions, and internal-only notes.
Use when an agent is about to write files, email, message, publish, deploy, submit, update CRM, store memory, call tools, or produce customer-facing work from ambiguous or…
Use when customer health, adoption, usage, support, or expansion material needs data screening before AI-assisted QBR or renewal work.
Use when outreach ideas, first lines, or account-specific angles need to be grounded in approved evidence without creepy personalization, competitor leakage, or unsupported claims.
Use when an agent acts through a human browser session, broad user token, shared credential, or service account.
Use when a workflow reads untrusted webpages, issues, emails, documents, retrieval content, attachments, or tool output before acting.
Use when handoff details could create delivery, security, integration, data, timeline, or expectation risk for implementation.
Use when an outbound sequence must be checked for channel fit, consent, opt-out, suppression, send cadence, localization, and logging before launch.
Use when a team wants to compare outbound variants, learn from response rates, and update sequence guidance without overclaiming causality.
Use when security questionnaire questions need category, sensitivity, source mapping, ownership, and review routing before answers are matched.
Use when an agent workflow needs accepted inputs, blocked inputs, approved sources, output shape, review gate, and eval cases before the agent runs.
Use when playbook updates need frontline manager coaching prompts, observation checklists, reinforcement routines, and field-adoption support.
Use when delivery, engagement, A/B test, attribution, or pipeline results need a safe post-send summary without overclaiming causality.
Use when a playbook, sales play, talk track, or enablement asset needs structured freshness, ownership, source, and risk review.
Use when a paused, scheduled, interrupted, failed, or checkpointed AI agent may resume from saved state, pending tool calls, approvals, traces, or memory.
Use when CS or AE needs renewal conversation language that is accurate, calm, and separated from internal risk notes.
Use when a seller needs external-safe competitive language grounded in approved claims, buyer needs, and reviewable evidence.
Use when a buyer-facing mutual action plan recap must be prepared after internal review of milestones, risks, commitments, and approval gates.
Use when closed-won context, sales notes, commitments, customer data, or implementation assumptions need screening before handoff planning.
Use when sourced account facts need to be translated into role-specific workflow hypotheses, validation questions, and safe persona context for GTM planning.
Use when an agent reads screenshots, PDFs, images, browser pages, document previews, or rendered UI content before summarizing, extracting, clicking, filing, or calling tools.
Use when an AE needs a cautious buyer-facing follow-up from reviewed discovery notes without adding unsupported commitments or sensitive internal context.
Use when renewal risk signals from usage, support, CRM, stakeholder notes, or commercial context need safe intake and confidence grading.
Use when tool output, API response, browser content, repository text, image output, or retrieval content may steer planning, memory, tool selection, or action.
Use when campaign launch readiness must be summarized across consent, segment logic, tracking, personalization, risk, blockers, and signoff owners.
Use when enablement needs to track playbook adoption, field feedback, manager usage, unresolved objections, and future refresh inputs after rollout.
Use when a reusable Skill needs create, validate, publish, monitor, update, deprecate, or retire decisions after workflow changes.
Use when a security questionnaire question can be answered from vetted language while preserving caveats, confidence, and approval status.
Use when a competitive brief, talk track, or deal coaching note is ready for final review against unsupported claims, legal risk, tone, and external-use boundaries.
Use when UTMs, attribution assumptions, personalization tokens, links, test sends, or A/B test setup must be checked before scheduling.
Use when blocked, sensitive, low-confidence, legal, security, privacy, or product-specific RFP questions need specialist review.
Use when an agent workflow needs internet access, browser access, package registry access, vendor APIs, webhooks, search tools, MCP servers, or any outbound network destination.
Use when renewal risk needs leadership, legal, security, product, finance, or implementation review with facts separated from assumptions.
Use when preparing buyer-specific discovery questions from workflow context, persona assumptions, risks, and approved account evidence before a live call.
Use when valid JSON, schema-conforming structured output, function-call arguments, or tool-call payloads need review before the workflow acts on them.
Use when a recurring task needs real examples, expected outputs, edge cases, source rules, reviewer notes, and scoring before becoming a prompt, Skill, or agent workflow.
Use when a browser agent needs a profile, cookies, session state, extension access, downloads, or remote debugging access.
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