feat: refresh shared skills catalog

skills/fuck-slop/SKILL.md

@@ -1,86 +1,27 @@
 ---
 name: fuck-slop
 description: >
-  De-slop pass for any text: detects and erases statistical AI writing fingerprints
-  (negative parallelisms, em-dash abuse, rule-of-three, false ranges, puffery, uniform cadence)
-  and rewrites prose to match target genre registers. Use when asked to "fuck slop", "deslop",
-  "remove AI tells", "humanize", or before publishing agent-drafted prose.
-concerns: [style]
+  Edit prose for clarity and remove repetitive AI-style filler when asked to deslop, humanize, remove AI tells, or improve the writing. Do not activate solely because text will be published.
+scope: global
 ---
 
-# F*ck Slop
+# Edit prose
 
-Strip every mark of AI writing from a text and make it authentic to its genre. Not "make it pass an AI detector" — make it read as if a specific human with a specific point wrote it for a specific audience.
+1. Read the text, audience, author voice, and constraints. Preserve the author's
+   claims, uncertainty, numbers, citations, quotations, and meaningful terminology.
+2. Locate filler, vague claims, decorative contrast, redundant lists, and mechanical
+   rhythm. Use [tell patterns](references/tells.md) only when useful; matches are
+   review candidates, not defects or proof of AI authorship.
+3. State the actual claim directly, trim repetition, and keep concrete evidence.
+   Preserve real comparisons, useful lists, and honest hedges. Do not fabricate
+   detail, force short sentences, inject slang, or alter claims to clear a regex.
+4. Read the result once for meaning and register. Rescan only if a substantial
+   rewrite may have introduced another problem. Stop when the text is clear;
+   zero regex hits and fixed sentence-length quotas are not completion criteria.
+5. Deliver the edited text or requested file. Explain material edits when helpful;
+   no mandatory diagnostic table or pass count.
 
-## The Core Problem
-
-The worst tells — especially **"not X but Y"** negative parallelisms — are emergent properties of preference tuning rewarding contrastive, comprehensive-sounding framing.
-1. **You cannot reliably see your own slop**: Detection must be mechanical (regex against a fixed catalog), never subjective impressions.
-2. **Rewriting reintroduces slop**: Rewriting "it's not just X, it's Y" often outputs "this is less about X than Y" — the same tell in a wig. The scan must loop until clean.
-
----
-
-## Phase 0: Setup and Protocols
-
-1. Review governing catalogs:
-   - [references/tells.md](references/tells.md) for runnable `grep -Ein` patterns across all diagnostic categories.
-   - [references/voices.md](references/voices.md) for target register profiles (academic, tweet, reddit, email, blog, docs, marketing).
-2. Rule: Never fix a pattern by paraphrasing the pattern. Fix by asking what the sentence asserts, then asserting that directly.
-
----
-
-## Phase 1: Ingest and Check
-
-1. **Establish the Target**:
-   - **Genre & Venue**: Academic article, technical documentation, blog, tweet, email, Reddit post.
-   - **Audience & Stance**: Who reads it, and what does the author specifically claim? Slop fills the space where a claim should be.
-   - **Constraints**: Word limits, house style, required terminology.
-2. **Mechanical Scan**:
-   - Run the regex catalog from [references/tells.md](references/tells.md) against the text.
-   - Flag structural rhythm failures:
-     - **Cadence**: 3+ consecutive sentences within $\pm 4$ words of equal length.
-     - **Formatting**: Bold scattering through prose, emoji bullet spam, symmetrical triads.
-   - Summarize findings into a concise diagnostic list before rewriting.
-
----
-
-## Phase 2: Processing (Core Logic)
-
-### Step 1: Negative Parallelism Triage
-Every "not X but Y" pattern receives one of three treatments:
-1. **Negation is a strawman** (nobody believes X): Delete X entirely; state Y directly with concrete evidence.
-2. **Contrast is genuine** (people hold X): Name who holds X and show concretely why Y wins.
-3. **Sentence asserts nothing** (decoration over empty claim): Delete the entire sentence.
-
-*Banned escape hatches*: "less about X than Y", "X matters, but Y matters more", "the question isn't X, it's Y".
-
-### Step 2: Vocabulary & Structure De-Slopping
-- **Puffery Tokens**: Replace inflated words (`pivotal`, `seismic`, `testament`, `tapestry`, `delve`, `multifaceted`) with plain verbs or concrete metrics.
-- **Rule-of-Three Lists**: Keep the single strongest item and discard filler. If keeping all three, break the symmetrical syntax.
-- **False Ranges**: ("from X to Y"): If no meaningful midpoint exists, name the two separate entities or cut one.
-- **Hedged Both-Sidesing**: ("it is worth noting", auto-counterpoints): Commit to a clear stance. Concede counterpoints only if genuine.
-- **Cadence Variance**: Mix short punchy sentences (3–6 words) with compound analytical statements. Break metronomic rhythm.
-
----
-
-## Phase 3: The System One Balance Pass
-
-- **Preserve Ground Truth**:
-  - Do NOT alter author claims, empirical numbers, code identifiers, or citations. This is a stylistic de-slop pass, not content censorship.
-- **Avoid Overcorrection**:
-  - Do NOT inject fake typos, manufactured slang, or artificial cynicism ("humanizer" slop).
-  - Em dashes are permitted when used naturally (maximum one per 150 words; never two in a sentence).
-  - In technical and academic registers, prioritize clarity and precision over informal attitude.
-
----
-
-## Phase 4: Output Execution & Verification
-
-1. **Verification Loop**:
-   - Re-run the Phase 1 scan on the rewritten text.
-   - Fix and re-scan until zero regex hits occur (maximum 4 passes; if a sentence fails 4 passes, discard and rewrite its bare assertion from scratch).
-2. **Register Verification**:
-   - Verify formatting and tone match [references/voices.md](references/voices.md).
-3. **Delivery**:
-   - Output the clean, de-slopped text.
-   - Provide a concise changelog table: Tell category, occurrences caught, and passes required.
+Read the relevant [register profile](references/voices.md) if the venue needs it.
+Use the author's supplied examples first. The optional
+[Vasily voice profile](../../../JEV/.agents/protocols/style-protocol.md) applies when
+writing as Vasily or for JEV, not to every author's text.

skills/fuck-slop/references/tells.md

@@ -12,7 +12,7 @@ When the text only exists in conversation, apply each pattern by hand. A match i
 
 ## 1. Negative parallelism — the "not X but Y" family
 
-The highest-priority category. LLMs reach for the negation-then-assertion move roughly once a paragraph; humans use it occasionally and deliberately. It is an emergent generative habit, so expect it to reappear in paraphrased form after every rewrite pass — that is why the scan loops.
+The highest-priority category. LLMs reach for the negation-then-assertion move roughly once a paragraph; humans use it occasionally and deliberately. It is an emergent generative habit, so expect it to reappear in paraphrased form after every rewrite pass — a targeted rescan may help after a substantial rewrite.
 
 ```
 not (just|only|merely|simply|solely) [^.;]{2,80}(but|it'?s| — )
@@ -123,7 +123,7 @@ Triage by hand: if you can name a meaningful midpoint, it's a real range and sta
 \b(\w+ \w+), (\w+ \w+), and (\w+ \w+)
 ```
 
-Triage: keep the strongest item, cut the rest — or keep all three only if each carries distinct information, and then break the rhythm.
+Triage: retain every distinct useful item. Remove only repetition or filler; no fixed list-length or rhythm quota.
 
 ## 5. Punctuation and formatting
 
@@ -148,7 +148,7 @@ Other formatting tells (check by hand; most regexes here are layout-dependent):
 
 No regex; measure or eyeball.
 
-- **Uniform sentence length** (the single strongest current tell): a run of 3+ consecutive sentences within ±4 words of each other, paragraph after paragraph of 18–24-word sentences. Quick measurement on a file:
+- **Uniform sentence length** (the single strongest current tell): a run of 3+ consecutive sentences within ±4 words of each other, paragraph after paragraph of 18–24-word sentences. Optional diagnostic on a file (not a completion gate):
 
   ```bash
   tr '\n' ' ' < draft.txt | sed 's/[.!?] /\n/g' | awk '{print NF}'

skills/fuck-slop/references/voices.md

@@ -1,6 +1,6 @@
 # Register Guide
 
-What "good" means per genre, what tells are fatal there, and what the de-slopped text should sound like. Use in Phase 0 (fix the target) and Phase 4 (register check). Two universal rules first:
+What "good" means per genre, what tells are fatal there, and what the de-slopped text should sound like. Read the relevant profile when the target venue needs it. Two universal rules first:
 
 1. **Voice comes from commitment, not decoration.** A text sounds human when it asserts specific things a specific person believes, at the level of detail only someone who did the work would know. Slang, typos, and "personality" sprinkled on top do not produce this and read as humanizer-tool output.
 2. **Match the author, not a persona.** If the user supplied earlier writing or a draft with their own phrasing in it, keep their words wherever they survive the scan. De-slopping someone into a generic "casual" voice is just different slop.