> ## Documentation Index > Fetch the complete documentation index at: https://deepline.com/docs/llms.txt > Use this file to discover all available pages before exploring further. # Deepline Skills > The packaged Deepline skills for GTM work: what each skill does and how to use it. Deepline Skills are the packaged operating instructions for common GTM work. Start with `deepline-gtm` for prospecting, enrichment, research, and outreach. Use a specialized skill when the job needs a deeper method, such as research planning before paid data work or a human review loop after a pilot. Skills do not replace the Deepline CLI. The skill plans and checks the job. The CLI searches tools, enriches data, executes Plays, and exports results. ## Entrypoints Use `deepline-gtm` for GTM work and Play authoring. Read command contracts with `deepline plays --help`. `deepline-plays` is a deprecated compatibility alias that routes to `deepline-gtm`. For installation and the pilot/review workflow, see [Use Deepline with an agent](https://deepline.com/docs/use-with-an-agent.md) and [Quickstart](https://deepline.com/docs/quickstart.md). If the CLI is missing, paste this into your agent before choosing a skill: ```text theme={"languages":{"custom":["/languages/deepline-prompt.json"]}} Install and set up the official Deepline CLI globally from npm (package: deepline) by following https://code.deepline.com/INSTALL.md. ``` ### deepline-start Interviews you to find a concrete GTM problem, proposes the right Deepline workflow and skill, then starts it after you confirm the plan. **Use it for** * Find a valuable GTM task to automate * Turn a manual sales or marketing process into a workflow plan * Choose between the GTM generalist and specialist research or scoring skills *** ### deepline-gtm The default skill for prospecting, enrichment, research, and outreach jobs. Start here when the request begins with a CSV, a target audience, or a GTM outcome. **Use it for** * Clean or enrich a CSV * Build account and contact lists * Find and validate LinkedIn URLs * Research and write outreach *** ### deepline-engine Builds, publishes, and verifies an orchestrator Play as a durable state machine, including a small paid pilot through its real transitions. **Use it for** * Turn a user-defined state machine into a Deepline Play * Define input and output tables for each state * Reuse workspace Plays or prebuilts for state transformations * Publish the checked engine and verify terminal, failed, invalid, and retried transitions with a bounded paid pilot *** ### deepline-plays-review Reviews a play and its output with a human feedback loop. Use it after a pilot when rows need approval, corrections, or a repeatable review sheet. **Use it for** * Review pilot output row by row * Collect corrections in a Google Sheet * Revise checks after failures * Decide whether a play is ready to scale *** ### deepline-research Plans a research job before paid data work. It maps public and private sources, designs source-specific queries, finds material datasets, and recommends the Deepline route. **Use it for** * Research a market or buyer problem * Find public datasets and source coverage * Design queries before provider execution * Estimate research cost before approval *** ### deepline-ads-audiences Builds, enriches, audits, and uploads paid advertising audiences for Google, Meta, and LinkedIn. It is for audience matching, not cold outbound. **Use it for** * Increase customer-list match coverage * Build suppression audiences * Audit hashing and normalization * Upload and compare Google or Meta audiences *** ### deepline-analytics Answers governed RevOps and GTM questions from a configured warehouse or semantic layer, with Snowflake as the primary analytics surface. **Use it for** * Answer funnel and pipeline questions * Compare periods using governed metrics * Find the right semantic object * Use raw SQL only when the semantic layer cannot answer *** ### deepline-scoring Finds observable signals that distinguish closed-won from closed-lost accounts, then turns them into an evidence-backed scoring model and prospect list. **Use it for** * Discover ICP signals from won and lost accounts * Analyze jobs, websites, and technology evidence * Build an account scoring model * Return net-new prospects that fit the discovered pattern *** ### deepline-crm-cleaning Audit CRM data, prepare evidence-backed repairs, and measure unresolved work. Covers duplicates, company domains, enrichment, employment changes, and typed entity relationships. **Use it for** * Find duplicates and assess prevention gaps * Repair invalid company URLs and missing fields * Separate legal entities, brands, business units, and account hierarchies * Measure quality, evidence coverage, and unresolved records ## Recipes included with deepline-gtm The router loads these focused recipes when the request matches. You do not need to invoke them separately. | Recipe | Use it when | | - | - | | Account Org Chart Builder | Build an interactive account org chart, leadership map, buying committee, or manager/report neighborhood around a person. Use for decision makers, reporting-line candidates, stakeholder mapping, and warm intro paths. Skip standalone email lookup and unrelated cross-company prospecting. | | Build a TAM List | Build a Total Addressable Market list: size the audience, source companies from ICP filters, then find contacts at those companies at scale. | | Find Qualified Titles | The recipe finds people whose actual titles match a plain-English ICP across the companies in a supplied list. It starts with each company's title roster rather than guessed keywords. The roster is free. Matching the ICP uses one small AI call per company. Any contact spend occurs only at the end. | | Portfolio/VC Prospecting | Find companies backed by a specific investor or accelerator, then find contacts and build personalized outbound. | | Small Business Prospecting | Use this for local SMB discovery like dentists, plumbers, med spas, agencies, or nearby storefronts. | ## What is not in this list `deepline-feedback` is a retired skill. The CLI documents feedback and session sharing through `deepline feedback send --help` and `deepline sessions send --help`. It still ships so existing prompts and installed CLIs keep working. `deepline-quickstart` provides a guided demo. Deepline still includes this skill. The recommended daily workflow above does not include this skill. This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.