${var} — [format] [argument]. Pick one of three formats, then pass its argument. Empty ⇒ drafts (standalone tweet drafts). thread … ⇒ a multi-tweet thread. remix … ⇒ remix of your past tweets. revise:<instruction> ⇒ revise the last saved draft (the Telegram force-reply shape, e.g. revise:make it punchier). See Selector below.

Read memory/MEMORY.md for context on recent articles, digests, topics being tracked, and the operator's tracked handles/token. Each branch then reads its own memory/logs/ window (drafts: 3 days, thread: 7 days, remix: 14 days) — see the branch.

Selector

Revise intercept first (Telegram force-reply). If ${var} starts with revise: → jump straight to Branch: REVISE (below) and stop; do not token-parse. This is the shape scripts/telegram-route.sh sends when the operator replies to a "refine this draft?" prompt — the revise: prefix would otherwise fall through to the drafts branch.

Otherwise, parse ${var} once, before doing anything else:

1. Trim whitespace. Take the first token (everything up to the first space or the first :), lowercased.
2. If that token is one of drafts, thread, remix → that's the format. The argument is the remainder of ${var} after stripping the keyword and one optional following : and surrounding whitespace.
3. Otherwise → format is drafts and the argument is the entire ${var} (backward-compatible with the legacy var = topic/URL behaviour).

Then dispatch to the matching branch below. Only run the selected branch.

Branch: REVISE (revise:… — Telegram force-reply)

The operator tapped the "refine this draft?" prompt and sent a free-text revision instruction. Handle it before any normal generation:

1. Strip the prefix. The instruction is ${var#revise:} (the remainder may itself contain colons — keep them). Trim surrounding whitespace. Example values: make it punchier, drop the emoji, lead with the number.
2. Load the last draft. Read memory/drafts/write-tweet-latest.md — the stable path every normal run saves to (see Save draft + offer revision). If it's missing or empty, there's nothing to refine yet: send ./notify "Nothing to revise yet — run a tweet draft first, then reply here to refine it." and end the run.
3. Apply the instruction. Re-read soul/ (SOUL.md, STYLE.md, examples) for voice, then regenerate the saved draft applying the operator's instruction. Keep the same format (drafts / thread / remix) and structure as the saved draft — you're refining it, not starting over — and respect the same character limits and anti-patterns as the originating branch (no hashtags, no emojis unless the draft had them, per-tier/thread length caps).
4. Re-save. Overwrite memory/drafts/write-tweet-latest.md with the revised draft, so a further revise: refines the newest version.
5. Re-send via ./notify in the same shape the originating branch uses for its draft, with a first line that flags it as a revision, e.g. revised (${var#revise:}): followed by the refreshed draft body. (For multi-line output use ./notify -f <file>.)
6. Re-offer a further revision (the operator is actively iterating, so this is expected, not a nag — skip the daily dedup guard here):

   ./notify "Want another pass? Reply with a change and I'll revise again." \
     --force-reply --placeholder "e.g. cut the last line" \
     --context "write-tweet::revise"
   

7. Log under ### write-tweet with - **Format:** revise and the instruction (see Log), then end the run — do NOT run drafts / thread / remix.

Branch: DRAFTS (default / empty ${var})

Generate 10 standalone tweet drafts across 5 size tiers (2 variations each). The argument is the topic or URL; empty ⇒ auto-select.

Read the last 3 days of memory/logs/ to understand what's been covered and avoid repeating takes.

Topic Selection (drafts)

If the argument is set, use it as the topic (it may be a keyword, a thesis, or a URL).

Otherwise, read today's memory/logs/${today}.md and pick the single most tweetable insight. Prioritize:

1. A take from today's article (already researched and opinionated)
2. A surprising connection between two of today's findings
3. A reaction to something from a tweet roundup or digest

If the topic needs fresher context, use WebSearch to verify or expand.

If XAI_API_KEY is set, search X for what people are already saying about the topic:

curl -s -X POST "https://api.x.ai/v1/responses" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $XAI_API_KEY" \
  -d '{
    "model": "grok-4-1-fast",
    "input": [{"role": "user", "content": "Search X for what people are saying about TOPIC in the last 24 hours. Return the 5 most notable tweets with @handle and summary."}],
    "tools": [{"type": "x_search"}]
  }'

This helps understand the existing conversation so you can add signal, not noise. XAI_API_KEY is optional for this branch — skip the search if it's unset.

Voice (drafts)

If soul files exist (soul/SOUL.md, soul/STYLE.md, soul/examples/), read them and match the owner's voice exactly.

If no soul files exist, write in a clear, direct, opinionated style:

• Short sentences. No hedging. No corporate voice.
• State the opinion first, reasoning after (if any).
• Reference specifics — names, projects, numbers — not vague hand-waving.
• No hashtags. No emojis. No "RT if you agree." No self-referential meta.

Writing (drafts)

Generate 10 drafts — 5 size tiers with 2 variations each. The two variations within a tier should take genuinely different angles (different framing, emphasis, mood) — not minor rewrites.

Size tiers

Tier 1 — One-liner (~50–100 chars) Single punchy sentence. Maximum compression — every word load-bearing.

Tier 2 — Two-punch (~100–180 chars) Two sentences. First sets up, second lands the hit. Claim then evidence, or observation then implication.

Tier 3 — Paragraph (~180–280 chars) A full thought in one tweet. Three to four sentences. Context, position, kicker.

Tier 4 — Long tweet (~280–600 chars) Uses X's extended tweet length. A mini-essay with setup, turn, and conclusion. Grounded with a specific example or data point.

Tier 5 — Thread opener (first tweet under 280 chars + thread sketch) First tweet hooks — sets up a thesis. Below the tweet, include a --- separator and a 3–5 bullet sketch of where the thread goes (key beats, not full text).

Approach styles (mix these across variations)

• Hot take — opinionated position stated directly
• Observation — pattern-match most people aren't seeing
• Sardonic/ironic — dry humor
• Reframe — question the premise of the mainstream take
• Data drop — lead with a specific number or fact, then the take
• Narrative — tiny story or anecdote that makes the point
• Question — a genuine question that reframes thinking

Each tier's two variations should use different approach styles.

Constraints (drafts)

• Tier 1–3: hard 280-character limit per tweet.
• Tier 4: up to 600 characters (X long tweet).
• Tier 5: first tweet under 280, thread sketch is bullet points only.
• No hashtags. No emojis. No "RT if you agree."
• No self-referential meta ("hot take:" or "unpopular opinion:").
• Count characters carefully.

Output Format (drafts)

## Tweet Drafts: [topic]

### Tier 1 — One-liner
**1a. [style]**
> [tweet text]

**1b. [style]**
> [tweet text]

### Tier 2 — Two-punch
**2a. [style]**
> [tweet text]

**2b. [style]**
> [tweet text]

### Tier 3 — Paragraph
**3a. [style]**
> [tweet text]

**3b. [style]**
> [tweet text]

### Tier 4 — Long tweet
**4a. [style]**
> [tweet text]

**4b. [style]**
> [tweet text]

### Tier 5 — Thread opener
**5a. [style]**
> [tweet text]
---
- [beat 1]
- [beat 2]
- [beat 3]

**5b. [style]**
> [tweet text]
---
- [beat 1]
- [beat 2]
- [beat 3]

After all 10, add a one-line pick for best overall and best per tier.

Notify (drafts)

Send the drafts via ./notify:

tweet drafts: [topic]

— one-liner —
1a. [tweet text]
1b. [tweet text]

— two-punch —
2a. [tweet text]
2b. [tweet text]

— paragraph —
3a. [tweet text]
3b. [tweet text]

— long tweet —
4a. [tweet text]
4b. [tweet text]

— thread opener —
5a. [tweet text]
5b. [tweet text]

best: #[n] — [reason]

Then save the draft and offer a revision (see Save draft + offer revision), and log (see Log, format drafts).

Branch: THREAD (thread …)

Write a tweetstorm/thread (5–10 tweets) in the operator's voice. The argument is the topic, thesis, or URL; empty ⇒ auto-pick the day's highest-signal event.

Read memory/MEMORY.md and the last 7 days of memory/logs/ for context. Use recent signals — notable market moves, paper picks, tweet roundup discourse — as raw material if no topic is set.

Voice (thread)

If soul/ files exist, read them in order before writing:

1. soul/SOUL.md — identity, worldview, opinions
2. soul/STYLE.md — writing style, sentence structure, anti-patterns
3. soul/examples/tweets.md — rhythm and tone calibration. Match this exactly.
4. soul/examples/bad-outputs.md — what NOT to do

If soul is absent, use a clear, direct, plain-spoken tone — but the anti-patterns under Writing Rules still apply.

Topic Selection (thread)

If the argument is set, use it as the topic (keyword, thesis, or URL). Skip scoring and go straight to research and drafting. Pick the sharpest angle from:

• Today's memory/logs/${today}.md — article thesis, paper finding, market signal
• memory/MEMORY.md notable signals — anything with reflexivity, contradiction, or structural insight
• A connection between two recent findings that most people aren't seeing

If the argument is empty, auto-pick the day's highest-signal event. Every run produces something worth amplifying — a feature shipped, a price move, a milestone crossed, a notable tweet — and most of it dies unposted. Read memory/logs/${today}.md end-to-end, score the events that actually happened, and thread the single highest-scoring one.

Auto-pick scoring (empty-argument mode)

Walk today's log section by section. Per section, extract at most one candidate event (first-match-wins) and score it:

If one event hits multiple signals (e.g. star milestone + price move on the same day), score each separately and take the highest single-event score — never sum across unrelated events to clear a threshold.

Tiebreakers (highest score wins, then): newest event (latest log section) → event with a concrete URL attached (PR, tweet, article) → alphabetical by section name.

If the top candidate scores < 3, there's no thread worth forcing on a quiet day — note it in the log and exit without notifying or drafting. If today's log is missing or empty, do the same.

The configured handles, tracked token, and watched repos come from soul/ and memory/ (the operator's tracked-handle/token notes) — never hardcode them.

Good thread topics:

• A structural critique of something (oracle incentives, prediction market design, DeFi primitives)
• A thesis with data: lead with numbers, build the argument
• A contrarian take on a mainstream narrative
• A builder's breakdown of how something actually works vs. how people think it works

Avoid topics already covered in the last 48h (check logs).

If the topic needs fresh context, use WebSearch to get current data.

Thread Structure

A thread is 5–10 tweets. Not a listicle. Not a lecture. A narrative arc.

Tweet 1 — Hook The opening hit. States the thesis or drops the most surprising fact. Must make someone stop scrolling. No setup — land in the middle of the action.

Tweets 2–(n-1) — Development Each tweet is self-contained but pulls forward. Build the argument:

• Add evidence, data, or a specific example
• Introduce a complication or nuance
• Flip the framing once mid-thread
• Each tweet must earn its place — cut any that are just filler

Tweet n — Landing The payoff. The implication, the action, or the reframe. Should feel like the point was building to this. Not a summary — a conclusion.

Thread formats (pick one per run)

Data-driven: Lead with a striking number. Each subsequent tweet unpacks what it means.

Structural critique: Identify a broken mechanic. Walk through why it's broken. Show the second-order effects.

Builder's breakdown: How X actually works under the hood, for people who only see the surface.

Narrative: A sequence of events that reveals something. Ends with "here's what this tells us."

Thesis-first: State the position boldly in tweet 1. Spend the rest proving it.

Writing Rules (thread)

• Write as the operator, first person.
• Match soul/STYLE.md conventions for capitalization, punctuation, and rhythm. If soul is absent: short sentences, plain language, em dashes over commas.
• State the opinion first, reasoning after.
• No hedging: kill "some might argue", "to be fair", "it remains to be seen."
• No corporate voice: kill "leverage", "ecosystem play", "exciting", "importantly."
• No filler transitions: kill "now,", "so,", "basically,", "essentially."
• Reference specific projects, people, mechanisms — not vague hand-waving.
• No hashtags. No emojis. No "RT if you agree." No "thread 🧵".
• Number tweets as 1/ 2/ 3/ etc. at the end of each tweet.
• Each tweet must pass the test: would the operator actually post this?

Character limits (thread)

• Tweets 1 through (n-1): hard 280-character limit each.
• Final tweet: up to 280 characters.
• Count carefully. If a draft is over 280, cut it.

Output Format (thread)

## Thread: [topic — 3-5 words]

**Format:** [data-driven / structural critique / builder's breakdown / narrative / thesis-first]
**Length:** [n] tweets

---

**1/**
[tweet text — 280 chars max]

**2/**
[tweet text — 280 chars max]

...

**n/**
[tweet text — 280 chars max]

---

**Why this thread:** [1-2 sentences on why this topic, why now, why the thread format (vs. single tweet)]

Notify (thread)

Send via ./notify:

thread: [topic — 3-5 words]

1/ [tweet 1]

2/ [tweet 2]

...

n/ [tweet n]

Then save the draft and offer a revision (see Save draft + offer revision), and log (see Log, format thread). On a quiet day (top candidate < 3, or empty log), send nothing — no draft, no save, no offer — just log the no-op.

Branch: REMIX (remix …)

Fetch ~30 older tweets, pre-filter for remixability, then produce 10 new rephrased versions across diverse strategies with post-write quality gates. The argument overrides the time window — accepts 30d, 180d, 1y, or a date range YYYY-MM-DD:YYYY-MM-DD. Defaults to 180d (30–180 days ago window, see step 1).

This branch requires XAI_API_KEY. If it's unset, emit REMIX_TWEETS_ERROR — no XAI_API_KEY configured, notify the cause, and stop.

Read memory/MEMORY.md for context on current topics and recent thinking. Scan the last 14 days of memory/logs/ for any ### write-tweet entries with **Format:** remix (and legacy ## Remix Tweets entries) and collect every tweet URL ever remixed — that's the persistent dedup set.

Voice (remix)

If a soul/ directory exists and is populated, read for voice calibration:

1. soul/SOUL.md — identity, worldview, opinions
2. soul/STYLE.md — writing style, sentence structure, anti-patterns
3. soul/examples/tweets.md — rhythm and tone calibration (if present)

Otherwise, match the tone of the originals fetched in step 1.

Steps (remix)

1. Fetch ~30 older tweets (over-fetch for filtering)

We over-fetch so the remixability pre-filter (step 2) has room to drop un-remixable candidates without reducing the output count below 10.

First, check the pre-fetch cache (the workflow pre-fetches XAI results outside the sandbox):

• Read .xai-cache/remix-tweets.json. If it exists and contains tweet content, parse it and skip to step 2. Log cache=hit.

If no cache, resolve the time window (from the branch argument) and call the XAI API directly:

TIME_WINDOW="${ARG:-180d}"   # ARG = the remix argument parsed from ${var}; default 180d

if echo "$TIME_WINDOW" | grep -q ':'; then
  FROM_DATE=$(echo "$TIME_WINDOW" | cut -d: -f1)
  TO_DATE=$(echo "$TIME_WINDOW" | cut -d: -f2)
else
  DAYS=$(echo "$TIME_WINDOW" | sed 's/[^0-9]//g')
  UNIT=$(echo "$TIME_WINDOW" | sed 's/[0-9]//g')
  [ "$UNIT" = "y" ] && DAYS=$((DAYS * 365))
  FROM_DATE=$(date -u -d "$DAYS days ago" +%Y-%m-%d 2>/dev/null || date -u -v-${DAYS}d +%Y-%m-%d)
  TO_DATE=$(date -u -d "30 days ago" +%Y-%m-%d 2>/dev/null || date -u -v-30d +%Y-%m-%d)
fi

Resolve the X handle. Look up in this order: (a) $X_HANDLE env var, (b) handle mentioned in soul/SOUL.md under "Identity", (c) abort with REMIX_TWEETS_ERROR — no handle configured.

Run two angled x_search queries so the pre-filter has a diverse pool — don't rely on one query shape:

• Query 1 — opinion posts (most remixable): original tweets that state a take, opinion, or principle (not news-tied, not announcements).
• Query 2 — standout posts (high engagement = proven): top-engagement original tweets in the window.

Each query must request for every tweet: full text, date posted, engagement stats (likes, retweets, replies), and the direct https://x.com/HANDLE/status/ID link. Ask explicitly for original posts only (not replies, not retweets, not quote tweets). Aim for ~15-20 tweets per query.

# Replace HANDLE with the resolved handle
curl -s -X POST "https://api.x.ai/v1/responses" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $XAI_API_KEY" \
  -d '{
    "model": "grok-4-1-fast",
    "input": [{"role": "user", "content": "Search X for original tweets (exclude replies, retweets, quote tweets) posted by @HANDLE from '"$FROM_DATE"' to '"$TO_DATE"'. I want OPINION/TAKE posts — tweets that state a view, principle, or observation (not news announcements, not project updates, not single-link posts). Return up to 15. For each: full tweet text, date (YYYY-MM-DD), likes, retweets, replies, direct link https://x.com/HANDLE/status/ID. Format as numbered list."}],
    "tools": [{"type": "x_search", "allowed_x_handles": ["HANDLE"], "from_date": "'"$FROM_DATE"'", "to_date": "'"$TO_DATE"'"}]
  }'

Then repeat with a second body varying the prompt to "top-engagement original tweets (highest likes+retweets) in the same window. Return up to 15."

Deduplicate by tweet ID across both queries. Log xai=ok / xai=partial / xai=fail based on how many queries returned data.

Sandbox fallback: if curl fails, use WebFetch against https://api.x.ai/v1/responses with the same POST body (the built-in WebFetch tool bypasses the sandbox).

2. Remixability pre-filter (drop before remixing)

Drop any candidate that matches any of these — these rarely yield a remix worth posting:

• Persistent dedup: tweet URL appears anywhere in memory/logs/*.md under a ### write-tweet remix entry (or legacy ## Remix Tweets) → drop.
• Reply/RT/quote leakage: text starts with @handle, has RT @, or is clearly a reply/quote snippet.
• Link-only / media-only: text is just a URL, or <20 chars of prose around a URL.
• News-tied / dated: references a specific event by name, a dated product launch, or named individuals in a way that wouldn't land today (e.g., "thoughts on OpenAI's Dev Day"). Exception: if the insight is clearly evergreen and the name is incidental, keep.
• Thread fragment: ends with 👇, (1/n), continued..., or begins with a number like 2. / 3/ — remixing a fragment strips context.
• Meta-tweet: "new follower milestone", "follow me for…", tweet about the account itself.
• Non-insight humor: jokes that depend on specific current context a reader today wouldn't have.

After filtering, you should have ≥10 candidates. If <10, fall back to relaxing only the news-tied rule for the least-dated candidates. If still <10, emit REMIX_TWEETS_DEGRADED (see step 6) and produce however many pass.

From survivors, select exactly 10 prioritizing: (a) topical diversity (no two on the same narrow subject), (b) broader appeal (engagement as a tiebreaker, not primary filter — we care about remixability, not popularity).

3. Assign strategies (rotation enforced)

Before writing any remix, assign each of the 10 selected originals a remix strategy. The 10 assignments must span at least 6 distinct strategies from the list below (prevents all-sharpen laziness). No strategy may be used more than 3 times.

• Sharpen — wordy original compressed into a one-liner.
• Flip the frame — same insight from the opposite direction.
• Update — take still holds, ground in today's context.
• Escalate — mild original made spicier.
• Soften — hot take restated as an observation that leads the reader there.
• Concretize — abstract original with a specific example or data point.
• Abstract — specific original zoomed to the general principle.

Match strategy to original — don't force Escalate on an already-spicy take.

4. Write remixes

For each of the 10, draft a new tweet (not a paraphrase) that:

• Captures the core idea of the original.
• Uses substantially different words and framing (target ≥60% new vocabulary vs. the original).
• Stands alone — nothing in it should read as "this is a rewrite".
• Stays ≤280 characters.
• Matches voice (soul files or the originals' tone).

Voice rules:

• First person.
• Short sentences. Em dashes over commas. No semicolons.
• State the opinion first, reasoning after (if any).
• No hedging. No corporate voice. No hashtags. No emojis.

5. Post-write quality gate (self-edit pass)

For each remix, run this checklist. Rewrite if any item fails. If rewrite still fails after one attempt, drop the tweet and replace it with a different un-remixed survivor from step 2 (assign a fresh strategy).

1. Specificity — does it say something (not vague platitude)? The claim/take must be pin-pointable in one sentence.
2. Novelty — ≥60% of content words differ from the original. If <60%, it's a paraphrase, not a remix.
3. Length — ≤280 chars including spaces.
4. No banned phrases — remove any of: "at the end of the day", "let's be real", "hot take", "unpopular opinion", "in today's world", "as we all know", "just my two cents", "food for thought", "thread 🧵".
5. Standalone — reads naturally without knowing the original existed.
6. Would-I-post-this test — self-score 1-5. If <4, rewrite once; if rewrite is still <4, drop and replace.

Track drops in the log (step 7). If you drop more than 3, emit REMIX_TWEETS_DEGRADED.

6. Output & Notify

Lead with a one-line batch verdict summarizing strategy spread (e.g., "3 sharpens, 2 flips, 2 updates, 2 concretizes, 1 escalate"). Keep the whole message ≤4000 chars. No leading indentation.

Send via ./notify:

*Remix Tweets — ${today}*
Batch: [one-line strategy spread]. Drops: N.

1. *[strategy]*
[original excerpt ≤80 chars] → [remix]

2. *[strategy]*
[original excerpt ≤80 chars] → [remix]

... (all 10, or fewer if DEGRADED)

source: cache=hit|miss, xai=ok|partial|fail, fetched=N, kept=N, drops=N

Status branching (prepend to the notify body as the first line instead of Batch:):

• REMIX_TWEETS_OK — 10 remixes produced, ≤3 drops.
• REMIX_TWEETS_DEGRADED — <10 produced OR >3 drops. Include cause.
• REMIX_TWEETS_EMPTY — XAI returned no usable tweets in the window. Notify once with cause and stop.
• REMIX_TWEETS_ERROR — no handle configured, no XAI_API_KEY, OR both XAI queries failed AND WebFetch fallback failed. Notify cause and stop.

On a successful (OK/DEGRADED) run, after notifying, save the draft and offer a revision (see Save draft + offer revision) — persist the remix batch to memory/drafts/write-tweet-latest.md. Skip the save+offer on EMPTY/ERROR (nothing was produced).

7. Log (remix)

Append to memory/logs/${today}.md under the shared ### write-tweet heading (see Log, format remix).

The URL list logged there is the canonical dedup source — every subsequent run reads these URLs back and drops any re-appearance (persistent dedup).

Save the fetched originals (even the filtered-out ones) to memory/topics/tweet-archive.md (append, deduplicated by URL) so other skills (article, drafts branch) can reference them as source material.

Constraints (remix)

• Never post remixes directly — this branch only drafts. Operator reviews via notification.
• Never remix a URL already in persistent dedup.
• Never output fewer than 10 without emitting REMIX_TWEETS_DEGRADED with a cause.

Environment Variables (remix)

• XAI_API_KEY — X.AI API key for Grok x_search. Required for this branch.
• X_HANDLE (optional) — X handle to search. Falls back to soul/SOUL.md Identity section if unset.

Save draft + offer revision (all branches)

After a normal run (drafts / thread / remix) has produced and notified a draft, do two things so the operator can refine it from Telegram. Skip both on a no-op (e.g. a quiet-day thread that produced nothing) — there's nothing to save or offer.

1. Persist the draft to a stable path a later revise: run can reload:

   mkdir -p memory/drafts
   

   Write the full draft you just sent — the same content as the notification body (all tiers / the whole thread / all remixes) — to memory/drafts/write-tweet-latest.md, overwriting any previous file. Only the newest draft is revisable.

2. Offer a revision. Because force_reply and inline buttons can't share one Telegram message, send this as a separate ./notify after the draft:

   ./notify "Want to refine this draft? Reply with a change and I'll revise it." \
     --force-reply --placeholder "e.g. make it punchier" \
     --context "write-tweet::revise"
   

   The reply routes back as var="revise:<instruction>" and re-dispatches this skill into Branch: REVISE.

   Dedup — once per produced draft. Before offering, scan the last ~2 days of memory/logs/ for a FORCE_REPLY_OFFERED: revise line dated ${today}; if present, skip the offer. When you send it, append the marker under the run's ### write-tweet entry:

   - FORCE_REPLY_OFFERED: revise
   

Log

Append one entry to memory/logs/${today}.md under a single ### write-tweet heading. The first bullet is always the **Format:** discriminator naming the branch that ran; the rest are that branch's fields.

Format drafts:

### write-tweet
- **Format:** drafts
- **Topic:** [topic]
- **Drafts:** 10 generated (5 tiers x 2 variations)
- **Best overall:** #[n] — [style] / [tier]
- **Notification sent:** yes

Format thread:

### write-tweet
- **Format:** thread
- **Topic:** [topic]   (or: SKIPPED — quiet day, top candidate < 3)
- **Thread format:** [data-driven / structural critique / builder's breakdown / narrative / thesis-first]
- **Length:** [n] tweets
- **Hook:** [first 60 chars of tweet 1]
- **Notification sent:** yes | no (quiet day)

Format revise:

### write-tweet
- **Format:** revise
- **Instruction:** [the operator's revision instruction]
- **Base draft:** memory/drafts/write-tweet-latest.md (reloaded + re-saved)  (or: none — nothing to revise)
- **Notification sent:** yes

Format remix:

### write-tweet
- **Format:** remix
- **Status:** OK | DEGRADED | EMPTY | ERROR
- **Source window:** FROM_DATE to TO_DATE
- **Fetched:** N (cache=hit|miss, xai=ok|partial|fail)
- **Kept after pre-filter:** N
- **Remixes produced:** N (drops: N)
- **Strategy spread:** e.g. Sharpen ×3, Flip ×2, Update ×2, Concretize ×2, Escalate ×1
- **Original tweets used:**
  1. "tweet text excerpt" — @HANDLE, DATE (URL) [strategy]
  2. ...

Sandbox note

The sandbox may block outbound curl.

• Drafts & remix (XAI x_search): use WebFetch as a fallback for the https://api.x.ai/v1/responses call (the built-in WebFetch tool bypasses the sandbox). For remix, an auth pre-fetch cache is also written to .xai-cache/remix-tweets.json by scripts/prefetch-*.sh before Claude runs — read it first (step 1). For any other auth-required API, use the pre-fetch/post-process pattern (see CLAUDE.md).
• Thread: uses only the built-in WebSearch tool for fresh context, which bypasses the sandbox — no fallback needed.