Install the Skill
Add the SocQ Skill from its public repository to a compatible coding agent.
npx skills add SocQAPI/socq-devtoolsKeep your existing MCP setup. Add one Skill to help your agent choose endpoints more accurately, control cost, and reliably complete asynchronous, paginated, and cross-platform research.
Install the SocQ Skill, configure your API key securely, and describe the research goal in natural language. Your agent follows the Skill to select endpoints, execute tasks, paginate results, and organize the final analysis.
Add the SocQ Skill from its public repository to a compatible coding agent.
npx skills add SocQAPI/socq-devtoolsStore the key in a local environment variable so live SocQ tasks can authenticate safely.
SOCQ_API_KEYAsk in natural language. The Skill guides endpoint choice, execution, polling, pagination, and result organization.
Compare recent posts from these three X profiles.Never paste an API key into a public chat, repository, or shared document. Follow the client-specific guide for secure local configuration.
Read the complete install guideMCP gives agents direct access to SocQ’s public social data tools. Add the Skill to improve endpoint selection, estimate cost, complete asynchronous and paginated tasks, and run cross-platform research with a consistent workflow.
MCP only
MCP already lets an agent discover endpoints, submit collection tasks, inspect task status, and read results.
Best for known endpoints and straightforward one-off collections.
MCP + Agent Skill
The Skill teaches the agent how to choose, sequence, and recover SocQ operations without adding a separate data service.
Best for multi-step, costly, asynchronous, repeated, or cross-platform research.
| Task | MCP only | MCP + Skill |
|---|---|---|
| Call a known endpoint | Call the tool directly and read the results | Validate inputs first, then execute and organize results with a consistent workflow |
| Turn a research goal into API steps | The agent chooses endpoints and execution order case by case | Apply a repeatable method to break down the goal, select endpoints, and plan each step |
| Run a large asynchronous collection | The agent handles cost, task status, and pagination case by case | Estimate cost before execution, continue the original task, and read every requested page |
| Run a cross-platform comparison | The agent defines the collection and comparison approach each time | Standardize limits, collection steps, and output structure so results are directly comparable |
If you only call a few clearly defined SocQ APIs, MCP is enough. Add the Skill when you want the agent to independently complete multi-step, asynchronous, or cross-platform research.
Explore SocQ MCPThe SocQ Skill provides a reliable method for endpoint selection, input validation, cost estimation, asynchronous tasks, pagination, and error recovery—making public social data research more accurate, efficient, and reusable.
Map natural-language intent to the relevant endpoint in the SocQ Capability Registry.
Determine whether a task needs URLs, usernames, hashtags, queries, or another documented input.
Inspect the capability and estimate credits before submitting a large collection.
Continue polling the original task instead of resubmitting and potentially paying twice.
Read cursor-paginated results and retrieve raw output files when the workflow needs them.
Respond to authentication, validation, rate, credit, and provider errors with the appropriate next step.
Each example starts with a business outcome. The Skill selects endpoints, validates inputs, controls cost, completes asynchronous tasks and pagination, and organizes the results into analysis ready to use.
Uses: instagram/postsUses: tiktok/searchUses: x/searchUses: youtube/searchUses: linkedin/profilesUses: reddit/postsThe Skill adds a decision layer around the same SocQ capabilities available through MCP, CLI, and REST.
Read the complete Skill workflowIdentify the entities, platforms, time range, result volume, and desired output.
Match the task to current SocQ Capability Registry entries.
Check schemas, constraints, and estimated credits before a large job.
Prefer MCP and pass the Skill attribution marker when submitting.
Poll the returned task ID instead of creating duplicate collections.
Follow cursor pagination and retrieve files when needed.
Return comparable tables, summaries, evidence, or structured output instead of raw endpoint jargon.
Execution preference
Hosted MCP → SocQ stdio bridge → CLI or REST fallback when MCP is unavailable.
The SocQ Agent Skill stays aligned with the live Capability Registry, helping agents choose endpoints accurately, complete asynchronous tasks, plan cost, and compare platforms with a consistent methodology.
Endpoint selection and input guidance reference the same capability source used by MCP and the API catalog.
Skill ↔ Capability Registry ↔ MCPThe agent knows when to submit, when to wait, and how to continue without duplicating work.
submit → task_id → poll → resultsLarge tasks can be checked and planned before they consume credits, with idempotent retries when appropriate.
schema → estimate → executeUse consistent collection limits and output structures when evidence comes from different platforms.
one goal → multiple platforms → comparable outputMCP, CLI, and REST are execution paths. Agent Skill is a guidance layer. They share one API catalog and asynchronous task model, so you can choose the interface that fits your workflow.
Current page · Agent Skill
Add endpoint selection, cost control, pagination, and task recovery guidance. Pair it with MCP first, or execute through CLI or REST.
Preferred execution path
Connect once, then let agents discover tools in natural language, submit collections, and continue through asynchronous task results.
It is a reusable set of instructions that teaches an AI agent how to select SocQ endpoints, shape inputs, control cost, complete asynchronous collections, and organize research results.
MCP gives agents access to live SocQ tools; the Skill gives them a reliable method for completing end-to-end research. With the Skill, agents translate goals into steps, select endpoints, validate inputs, estimate cost, continue asynchronous tasks and pagination, and organize cross-platform results with consistent criteria. For multi-step, long-running, or repeatable research, this reduces ad hoc decisions and duplicate execution while producing more reliable, complete, and comparable results.
No. The Skill does not add a separate data service or unlock private capabilities. It teaches the agent how to use the same SocQ API catalog more reliably.
No. The Skill prefers hosted or stdio MCP, but it can guide the agent to use the SocQ CLI or REST API when MCP is unavailable.
SocQ uses one cross-platform Skill. The agent selects the appropriate capability from the complete SocQ catalog according to the task.
Live data collections require a valid SocQ API key. The Skill itself should never contain or store credentials; configure the key securely in the local client environment.
Yes. It guides the agent to continue polling the original task, follow result cursors, and retrieve raw files when the requested workflow requires them.
It can use the public social data capabilities currently available in the SocQ API catalog. Each API page documents supported inputs, public data scope, and normalized result fields.