3 Curated Agents Prompts

Agents Prompts

Production recipes and workflows categorized under #agents.

ericosiu
@ericosiu

Revenue ops

✦ClaudeRevenue ops

Revenue command center workflow prompts

A set of Claude Code dynamic-workflow prompts for finding and acting on revenue opportunities.

Original X post
1. Revenue Command Center Use a workflow. Build a revenue command center for [company]. Inspect every available data source I provide: CRM exports, call transcripts, email threads, analytics, proposals, client reports, SEO data, ad data, and internal docs. Create a unified map of where revenue is being created, delayed, leaked, or ignored. Then run specialist subagents in parallel for pipeline, retention, upsells, SEO, paid acquisition, outbound, partnerships, and operational bottlenecks. Return a ranked list of the top 25 revenue opportunities with estimated upside, confidence, owner, next action, required assets, and a 7-day execution plan. Then implement any safe automations, dashboards, scripts, or draft assets needed to start capturing the top opportunities immediately. 2. Stalled Revenue Recovery Use a workflow. Analyze all deals, proposals, old sales calls, CRM notes, and email history from the last 180 days. Find every stalled, forgotten, under-followed, or mishandled revenue opportunity. Score each by recoverable revenue, buying intent, relationship warmth, reason stalled, and recommended next move. Draft personalized follow-up messages for every high-value opportunity, grouped by angle: urgency, new insight, case study, strategic check-in, offer refresh, or executive nudge. Produce a ready-to-send table and a daily follow-up sequence. 3. Client Expansion Engine Use a workflow. Analyze all current clients, contracts, reports, performance data, meeting notes, and communications. Identify where each client could logically buy more from us. For every account, infer pain points, current gaps, missed opportunities, proof points, budget signals, and likely objections. Rank expansion opportunities by expected value and probability. Draft the upsell strategy, pitch email, meeting agenda, and one-page value case for each top account. 4. Churn Prevention + Save Plan Use a workflow. Review client health signals across notes, emails, reports, delivery status, performance trends, sentiment, missed deadlines, response lag, and stakeholder engagement. Score churn risk for every client. For each at-risk account, diagnose the root cause, recommend the save motion, draft the executive check-in, create the recovery plan, and identify what proof or delivery fix is needed to retain the account. 5. SEO / AI Search Revenue Gap Use a workflow. Analyze our site, competitors, keyword data, AI search visibility, Google rankings, content library, service pages, and conversion paths. Identify high-intent revenue opportunities where we are under-ranking, under-mentioned, or missing from AI answers. Prioritize by buyer intent, revenue potential, ranking feasibility, and strategic value. Create the content plan, page briefs, internal link plan, schema recommendations, and draft the top 5 assets. 6. Offer Rebuild Workflow Use a workflow. Audit this offer: [offer/page/deck]. Compare it against competitors, customer pain, objections, proof, pricing psychology, guarantees, funnel flow, and conversion friction. Rebuild the offer into a sharper productized version with positioning, promise, mechanism, pricing tiers, proof stack, guarantee, objections, landing page copy, sales script, onboarding flow, and fulfillment SOP. Give me 3 variants: safest, aggressive, and premium. 7. Sales Call Intelligence Workflow Use a workflow. Analyze every sales call transcript I provide. Extract buyer pains, objections, competitor mentions, pricing concerns, buying triggers, weak rep moments, missed discovery questions, and close opportunities. Create a revised sales script, objection handling guide, follow-up templates, rep coaching notes, and a list of prospects worth re-engaging based on buying signals. 8. Paid Acquisition Profit Audit Use a workflow. Analyze ad exports, landing pages, funnel data, conversion tracking, creative, search terms, audiences, and offer alignment. Identify wasted spend, tracking breaks, low-converting pages, budget misallocations, and campaigns worth scaling. Return exact cuts, reallocations, experiments, landing page fixes, and projected impact. 9. Founder Content-to-Revenue Engine Use a workflow. Analyze my best posts, podcasts, YouTube videos, newsletters, offers, audience comments, and sales data. Identify which ideas actually map to revenue. Build a content engine that turns those ideas into LinkedIn posts, X posts, newsletters, short-form hooks, YouTube outlines, lead magnets, and sales CTAs. Prioritize topics by buyer intent, authority building, and offer relevance. 10. Automation ROI Hunter Use a workflow. Inspect the repo, docs, recurring workflows, SOPs, spreadsheets, and manual processes I provide. Find bottlenecks that slow revenue, reporting, sales, client delivery, or content production. Rank automation ideas by ROI, implementation effort, risk, and time saved. Then implement the highest-ROI safe automation with tests, docs, and rollback notes. Meta-prompt to use when you want the monster version: Use a workflow with unlimited-token depth. Do not optimize for brevity. First build the full context map. Then spawn specialist subagents for every major revenue surface. Then synthesize findings into a ranked opportunity model. Then execute safe implementation work in parallel. Then verify outputs. Then return: expected revenue impact, exact next actions, drafts/assets created, automations implemented, files changed, proof, and remaining risks.
·29.9k uses·View original
Nick Vasilescu
@nickvasiles

Knowledge ops

✦ClaudeKnowledge ops

/goal Obsidian vault "company brain" builder

A long-running /goal prompt that builds a validated, source-backed Obsidian vault as LLM context.

Original X post
/goal Build a mature, source-backed Obsidian vault brain for the user. Primary Objective: Create a local Obsidian-compatible vault that functions as a durable context layer for LLMs and agents. The output must be a working vault folder, not merely a report. The vault must be source-backed, resumable, validated by scripts, and organized around canonical knowledge rather than raw dumps. Before doing substantive work, confirm: 1. The current working directory. 2. The intended output root directory. 3. The available source locations and connectors. 4. The connected account/workspace/organization for every external connector. If the user has not provided an output root, create the compiled vault under the current working directory: Compiled-Vaults/compiled-vault-brain-YYYY-MM-DD/ Do not write the final vault to an ambiguous location. Core Memory Architecture: The vault must distinguish between declarative memory, procedural memory, source traces, context packs, and runtime tools/connectors. Required First Phase: Orientation: Do not author the final vault immediately. First inspect available vaults, notes, documents, repos, generated examples, and connected tools. Produce: Reports/ORIENTATION-REPORT.md Include confirmed working directory, output path, source inventory, connector inventory, account/workspace verification results, initial high-signal entities, proposed ingestion plan, and blockers. Hard Checkpoint 1: After ORIENTATION-REPORT.md is created, pause and ask the user whether to proceed. Do not begin broad ingestion until the user approves. Connector Verification Gate: Before ingesting from any external connector, retrieve and document the actual connected account/workspace/organization. For each connector, record: - Connector name. - Account email or user ID if available. - Workspace, organization, tenant, or team ID if available. - Verification method. - Timestamp. - Read/write capability observed. - Whether it is approved for ingestion. Write this to SOURCE-MANIFEST.md. If a connector is attached to the wrong account, workspace, or organization, mark it blocked. Do not use it for ingestion. Never send emails, messages, calendar invites, refunds, billing updates, database writes, or any external mutation without explicit user approval. Required State And Resumption Files: Create and maintain: INGESTION-LOG.md state.json The job must be resumable from these files. Before doing new work after any interruption, read both files and continue from recorded state. state.json must include output_path, current_phase, completed_phases, sources_discovered, sources_ingested, connector_status, batches_completed, canonical_notes_created, validation_status, next_actions, and blockers. Required Compiler Process: Use this repeatable compiler-style process: parse -> thread/group -> classify -> extract -> canonicalize -> rehydrate provenance -> author -> validate links -> critic/audit When re-encountering an existing entity, update the existing canonical note and append new provenance. Do not create a duplicate note unless there is clear evidence that it is a distinct entity. For large ingestion passes, use a small or cheap model for parse, classify, and extract where available. Reserve the strongest model for synthesis, authoring, critic review, and ambiguous entity resolution. Required Deterministic Machinery: Create a tools folder inside the compiled vault: _tools/ Write and run scripts for: 1. Wikilink validation: - Find all [[wikilinks]]. - Mirror Obsidian resolution semantics: resolve links by note filename anywhere in the vault, support paths where specified, account for aliases/headings/blocks where practical, and flag only links that would not resolve in Obsidian. - Report unresolved and ambiguous links. 2. Slug/path validation: - Detect empty filenames. - Detect invalid paths such as People/.md, Projects/.md, Companies/.md. - Detect duplicate canonical slugs. - Detect unsafe filename characters. 3. Secret and credential scanning: - Scan output files for API keys, access tokens, private keys, passwords, recovery codes, bearer tokens, OAuth tokens, database URLs, SSH keys, webhook secrets, signing secrets, session cookies, and credential-like environment variables. - Redact before completion. 4. Source reference validation: - Confirm every promoted canonical note has provenance. - Confirm every source reference points to SOURCE-MANIFEST.md or Sources/. 5. Required artifact validation: - Confirm all required folders and files exist. 6. Manifest generation or validation: - Generate or verify SOURCE-MANIFEST.md from ingestion logs and connector checks. Record script commands and results in VALIDATION-REPORT.md. Redaction Policy: Never copy secrets or credential values into the compiled vault. For ordinary personal information, avoid unnecessary raw dumps. Prefer summaries and provenance over copying long private messages. If sensitive personal, legal, medical, financial, or employment information is needed, summarize minimally and mark sensitivity in frontmatter. Required Ingestion Plan: Existing notes/vaults: - Ingest useful Markdown broadly. - Prioritize people, companies, projects, daily notes, meeting notes, tasks, reports, resources, decisions, procedures, glossaries, and planning files. - Do not mutate the original vault unless explicitly approved. Email, if verified: - Smoke pass: 5-10 high-signal threads. - Create sample notes, source traces, and validation outputs. - Pause for user approval before broader ingestion. - Recent broad pass: approximately 300-500 relevant threads from the last 60-120 days. - Entity-targeted pass: 500-1,500 additional threads focused on high-signal entities. - Deep historical pass: 2,000-5,000 additional threads only if explicitly approved. Hard Checkpoint 2: After the email or connector smoke pass, show: - 3-5 sample canonical notes. - 1 sample source trace. - 1 sample context pack. - Current SOURCE-MANIFEST.md. - Current VALIDATION-REPORT.md. Then ask the user whether to proceed to broader ingestion. Required Vault Structure: The compiled vault must contain: People/ Companies/ Projects/ Products/ Topics/ Decisions/ Commitments/ Procedures/ Preferences/ Context Packs/ Sources/ Maps/ Reports/ _tools/ README.md SOURCE-MANIFEST.md VALIDATION-REPORT.md COMPLETION-AUDIT.md INGESTION-LOG.md state.json Note Format: Use Obsidian-compatible Markdown with YAML frontmatter where useful, wikilinks, aliases, tags, source references, and clear provenance. Prefer durable canonical notes over shallow contact cards. Separate claims from source traces. Represent uncertainty explicitly. Do not invent facts. Example People Note: --- type: person name: "Example Person" aliases: - "E. Person" tags: - person source_status: source-backed sensitivity: normal last_verified: YYYY-MM-DD --- # Example Person ## Summary Example Person is a [role/relationship] connected to [[Example Company]] and [[Example Project]]. ## Relationship To User - Relationship: [customer / collaborator / investor / vendor / teammate / friend / unknown] - Context: [brief source-backed explanation] - Confidence: high / medium / low ## Known Preferences Or Patterns - [Observed preference or pattern] Source: [[Sources/example-source-id]] ## Related Projects - [[Example Project]] ## Open Loops - [[Commitments/example-commitment]] ## Provenance - [[Sources/example-source-id]] — [brief description, date] Example Decision Note: --- type: decision decision_date: YYYY-MM-DD status: active tags: - decision source_status: source-backed confidence: medium --- # Decision: Example Decision Title ## Decision [State the decision clearly.] ## Rationale [Explain why this decision was made, based only on available evidence.] ## Alternatives Considered - [Alternative 1] - [Alternative 2] ## Consequences - [Expected or observed consequence] - [Operational implication] ## Related - [[Example Project]] - [[Example Person]] ## Provenance - [[Sources/example-source-id]] — [what this source proves] Example Context Pack: --- type: context-pack scope: "Example bounded task" tags: - context-pack last_updated: YYYY-MM-DD --- # Context Pack: Example Task ## Use This When Use this context pack when an agent needs to [specific task]. ## Essential Context - [[Example Project]] is the main project. - [[Example Person]] is the key stakeholder. - [[Decisions/example-decision]] governs the current approach. ## Current State [Concise source-backed summary.] ## Relevant Procedures - [[Procedures/example-procedure]] ## Open Loops - [[Commitments/example-commitment]] ## Sources - [[Sources/example-source-id]] ## Agent Instructions - Do not assume facts not present in linked notes. - Check SOURCE-MANIFEST.md for source freshness. - If acting externally, ask for explicit approval first. Required Content: Create notes for important people, companies, projects, products, systems, topics, decisions, commitments, procedures, preferences, context packs, maps/indexes, and source traces. Validation Hard Gates: Do not declare this goal complete unless all of these pass: - 0 placeholder source references. - 0 broken internal wikilinks under Obsidian-style resolution. - 0 empty slugs. - 0 invalid paths such as People/.md, Projects/.md, Companies/.md. - 0 copied secrets, API keys, tokens, passwords, private keys, recovery codes, or credential values. - Every promoted canonical note has provenance. - Every connector used is listed in SOURCE-MANIFEST.md. - Every connector account/workspace/organization status is documented. - README.md explains how the vault is organized and how agents should use it. - VALIDATION-REPORT.md lists scripts run, commands used, pass/fail status, and remaining issues. - COMPLETION-AUDIT.md maps every explicit requirement in this prompt to evidence in the output. - INGESTION-LOG.md and state.json are current. - The final vault opens as a normal Obsidian-compatible folder. Completion Audit: COMPLETION-AUDIT.md must map every major requirement in this prompt to: - Status: pass / partial / blocked / fail. - Evidence path. - Notes created or scripts run. - Remaining limitation, if any. Execution Rules: Work in phases. Continue across resumptions by reading INGESTION-LOG.md and state.json first. Avoid repeating completed work. Keep concise progress updates. Use source-of-truth checks over speculation. Prefer actual filesystem, connector, repo, and document evidence to memory. Preserve user-owned source files. Do not make destructive changes. Do not perform external writes or mutations without explicit approval. Stop Conditions: Pause and ask the user before: - Broad connector ingestion beyond smoke pass. - Deep historical email/chat ingestion. - Any external write or mutation. - Any destructive local file operation. - Any ingestion likely to be expensive, slow, or privacy-sensitive. Quality Bar: The compiled vault should not be a dump. It should be a structured, source-backed operating memory that helps future agents understand who the user is, what they are working on, who and what matters, what has been decided, what remains open, what procedures work, what preferences matter, and which sources justify those conclusions. Completion Rule: Do not declare the goal complete until the compiled vault exists, validation scripts pass, and SOURCE-MANIFEST.md, VALIDATION-REPORT.md, COMPLETION-AUDIT.md, INGESTION-LOG.md, and state.json all exist and prove the requirements were satisfied. If blocked, continue with available sources and document the blocker precisely rather than silently degrading the output.
·42.9k uses·View original