typefully

Overview of typefully skill

What typefully does

The typefully skill helps you create, schedule, publish, and inspect social posts through Typefully instead of improvising a one-off prompt. It is most useful when you want a repeatable typefully guide for drafting threads, managing drafts, checking analytics, or handling account setup for typefully for Social Media across X, LinkedIn, Threads, Bluesky, and Mastodon.

Who should install it

Install typefully if you already use Typefully or plan to route social publishing work through it from an AI workflow. It fits creators, social media managers, founders, and agents that need structured post operations, not just copy suggestions. It is less useful if you only want generic caption ideas without connecting to Typefully.

Why this skill is different

The skill is built around real Typefully API actions and a CLI wrapper, so it can do more than describe best practices. The repo includes setup guidance, update paths, error handling for missing API keys, social set workflows, and analytics commands. That makes the typefully install decision about execution quality, not just prompt quality.

How to Use typefully skill

Install and verify setup

Use the documented install flow for your environment, then configure the Typefully API key before expecting any action to work. The skill points to the Typefully API key page and a setup command in scripts/typefully.js; if the key is missing, many tasks will fail early. Treat setup as part of the workflow, not a separate optional step.

Give the skill a complete task

For good typefully usage, state the platform, content goal, and action clearly: draft, schedule, publish, update, or check analytics. Strong input looks like: Use typefully to draft a 3-post X thread about launch metrics, keep each post under platform limits, and save it as a draft for review. Better inputs include audience, tone, CTA, posting window, and whether you need a thread or single post.

Start with the right files

Read SKILL.md first, then inspect CHANGELOG.md and scripts/typefully.js for the actual command surface and recent behavior changes. The changelog is especially useful for analytics options, disclosure flags, and platform defaults. If you are adapting the skill, the script is the fastest way to confirm what the CLI really accepts.

Use the skill in a workflow

A practical pattern is: define the post brief, let the skill generate or transform the content, then validate platform fit before publishing. For social sets, analytics, or quota checks, ask for the specific object you need rather than a broad “analyze my account” request. This keeps the tool aligned with Typefully’s API-first design and reduces back-and-forth.

typefully skill FAQ

Is typefully only for X posts?

No. The skill is centered on Typefully, which supports social publishing workflows across X, LinkedIn, Threads, Bluesky, and Mastodon. That said, some commands and documentation are more mature for X, especially analytics and post-specific workflows.

Do I need Typefully account access?

Yes. typefully is not a standalone writing assistant; it expects Typefully API access and a valid account context. If you cannot provide an API key or do not want to publish through Typefully, a generic prompt may be simpler.

Is this better than prompting the model directly?

Use a direct prompt for one-off copy drafts. Use typefully when you want consistent setup, API-backed actions, social set handling, or repeatable publishing and analytics workflows. The skill is most valuable when output quality depends on exact commands and account state, not just good prose.

Is it beginner-friendly?

Yes, if you can follow a setup step and provide a clear social brief. The main beginner blockers are missing API credentials, vague prompts, and assuming the skill can infer platform rules you did not state. Beginners get the best results by starting with drafts before trying scheduling or analytics.

How to Improve typefully skill

Provide the missing context first

The biggest quality gains come from specifying platform, format, and intent up front. For example: Create a LinkedIn post, professional tone, 120-180 words, include one metric, no hashtags, and prepare it for scheduling tomorrow morning. This helps typefully choose the right structure instead of guessing.

Use platform-aware constraints

Different platforms need different shape, length, and disclosure choices. If you want a thread, say how many posts and whether the first post needs a hook. If you want a draft for X, mention reply inclusion, quote-post intent, or disclosure needs such as paid partnership or AI-made labels when relevant.

Watch for common failure modes

The most common issues are missing API key setup, asking for unsupported platforms or commands, and underspecifying the social set or analytics range. Another frequent problem is asking for “the best post” without saying what success means. If the first result is off, correct the constraint that mattered most: audience, voice, CTA, or platform limit.

Iterate with concrete edits

When improving output, avoid “make it better” and instead request a measurable change: shorter hook, more urgency, fewer emojis, stronger CTA, or a thread split into clearer beats. For typefully usage, iteration works best when you preserve the original brief and only change one variable at a time.