# Postready > > - **Type:** Skill - **Install:** `agentstack add skill-analystacademy-claude-skills-postready` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [analystacademy](https://agentstack.voostack.com/s/analystacademy) - **Installs:** 0 - **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [analystacademy](https://github.com/analystacademy) - **Source:** https://github.com/analystacademy/claude-skills/tree/main/postready ## Install ```sh agentstack add skill-analystacademy-claude-skills-postready ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # Post-Ready Pipeline End-to-end content pipeline. Source material in → publish-ready LinkedIn posts out. Runs four skills in sequence, automatically. No checkpoints. No menu. No asking which steps to run. 1. **content** — draft 3–4 posts from the source 2. **factcheck** — verify factual claims (Standard tier, no tier picker) 3. **hatchet** — tighten each post 4. **ask-hr** — HR-screen each post and apply rewrites for anything flagged > **Setup note:** This skill orchestrates four other skills (`content`, `factcheck`, `hatchet`, `ask-hr`). All four must be installed. The path references below assume they live under your skills directory (e.g. `~/.claude/skills/content/SKILL.md`) — adjust if yours are different. --- ## Step 1: Generate the drafts (content) Read the `content` SKILL.md and follow its instructions to: - Identify and ingest the source content (pasted text, PDF, URL, email, newsletter, etc.) - Find the best 3–4 angles - Draft full-length posts in the user's voice (using the `post` skill) **Two important deviations from `content`'s normal flow:** - **Skip `content`'s internal factcheck step.** This pipeline runs factcheck centrally in Step 2 — don't double up. - **Do not "present" the posts yet.** `content` normally ends by presenting finished drafts to the user. Here, treat the drafts as intermediate output and pass them to Step 2. --- ## Step 2: Fact-check the drafts (factcheck — Standard tier) Read the `factcheck` SKILL.md and run the **Standard tier** on every post that contains: - Statistics or numbers - Named figures, organizations, or surveys - Specific historical, scientific, or attributed claims **Skip the tier picker entirely.** Don't ask which tier — always Standard. For each ❌ Incorrect or ⚠️ Partially correct finding, apply the suggested fix directly into the draft. Keep a one-line note per fix for the final summary (e.g. *"Post 2: corrected '85% of jobs in 2030' → 'a widely cited but unsourced claim removed'"*). If a post has no checkable claims, skip the search and note *"no claims to check"* in the pipeline notes. --- ## Step 3: Tighten each post (hatchet) Read the `hatchet` SKILL.md and run hatchet on each (now factchecked) post. - Default target: roughly 50% reduction - If a post is already tight, just clean it up — don't over-cut - Preserve the user's voice and the sharp opening line - Do not collapse the post into a single paragraph if the original used line breaks for rhythm The hatchet output is intermediate — feed it into Step 4, don't present it yet. --- ## Step 4: HR-screen each post (ask-hr) Read the `ask-hr` SKILL.md and run an HR review on each tightened post. For each post, decide based on the verdict: | Verdict | Action | |---|---| | ✅ Clear or 🟢 Low Risk | Keep the post as-is from Step 3 | | 🟡 Moderate Risk | Use the **Full Rewrite** from `ask-hr` as the final version | | 🔴 High Risk | Use the **Full Rewrite** from `ask-hr` as the final version, flag prominently in pipeline notes | Keep HR notes brief — name the issue and severity, one or two lines per flagged post. Don't include the full risk-score table in the final output. --- ## Step 5: Present the final posts Format the response exactly like this: --- ### 📦 Post-Ready: [N] posts **Post 1 — [angle type]** [Final post text — factchecked, tightened, HR-cleared] --- **Post 2 — [angle type]** [Final post text] --- *(repeat for each post)* --- ### 🔧 Pipeline notes **Factcheck:** [one line per fix applied, or "All claims verified" / "No checkable claims"] **Hatchet:** [rough reduction summary, e.g. "Posts trimmed ~40–55%" or "All posts already tight, light cleanup only"] **HR:** [any flags caught and the rewrite applied, or "All posts cleared"] --- End by asking which (if any) the user wants to adjust further. --- ## What NOT to do - Do NOT pause for approval between steps — the whole point of `postready` is end-to-end automation - Do NOT show intermediate drafts (raw, factchecked-but-not-trimmed, etc.) — only the final versions - Do NOT skip any of the four steps on any post, even ones that look "obviously fine" - Do NOT use a different factcheck tier — always Standard - Do NOT over-cut tight posts in the hatchet step - Do NOT open posts with newsletter meta-framing ("This week's newsletter…", "I read a PDF that…") — same rule as `content` - Do NOT include the full `ask-hr` risk-score table or the full `factcheck` per-claim report in the final output — keep pipeline notes brief ## Source & license This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [analystacademy](https://github.com/analystacademy) - **Source:** [analystacademy/claude-skills](https://github.com/analystacademy/claude-skills) - **License:** MIT Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/skill-analystacademy-claude-skills-postready - Seller: https://agentstack.voostack.com/s/analystacademy - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.