Individual skill
reply-maker
Draft copy-paste-ready X replies - two options per reply-worthy tweet from tracked accounts, topics, or lists (default), or ready-to-post responses to engagement opps in recent logs (from-logs)
skills/reply-maker/SKILL.md
Source commit 25575a6be3bfab41925964de55654056a2fe0c39
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- Matches the observed repository HEAD
- Yes
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- No
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- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 2026
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Repository context
- Repository stars (not skill ratings)
- 789
- Repository last updated
- Nov 7, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- claude-code Repository topic
- agent-framework Repository topic
- agents Repository topic
- ai Repository topic
- anthropic Repository topic
- claude Repository topic
- harness Repository topic
- llm Repository topic
- automation Repository topic
- social Declared skill tag
- meta Declared skill tag
- engineering Derived category
Files and excerpt
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Browse files
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Read excerpt
<!-- autoresearch: variation B — sharper output via specificity gates, anti-sycophancy lint, post-write self-edit, and skip-gate for low-leverage tweets -->
> **${var}** — selects the mode and scope:
> - **empty** → **Mode A (Reply Drafting):** auto-discover reply-worthy tweets across your areas of interest (from recent logs + memory) and draft two reply options for each.
> - **`@handle` / numeric X list ID / topic** → **Mode A (Reply Drafting)** scoped to that handle, list, or topic.
> - **`from-logs`** (or **`--from-logs`**, optionally followed by an `@handle` or project name to narrow the scan) → **Mode B (From-Logs Engagement):** scan recent logs for flagged engagement opportunities and turn them into copy-paste-ready responses.
> - **`revise:<instruction>`** → **Revise branch:** reload the last drafted replies and refine them per the instruction (the Telegram force-reply shape, e.g. `revise:make them shorter`).
## Preamble (both modes)
Read `memory/MEMORY.md` for context on active projects and open engagement follow-ups.
Then read `memory/logs/` — the window depends on the mode:
- **Mode A:** the last 2 days of `memory/logs/` for recent `fetch-tweets`, `narrative-tracker`, and prior `reply-maker` outputs (used as a candidate pool and for reply de-duplication).
- **Mode B:** the last 7 days of `memory/logs/` for engagement opportunities flagged by other skills (`mention-radar`, `fetch-tweets`, `reply-maker`) or noted in MEMORY.md "Known Follow-ups".