feat(skills): author the Continuous Research skills, and make its roles honest
The boot log has said `continuous_research — 4 role skills bound, 8 unresolved`
on every start. Those eight roles ran without the instructions their template
promised them, silently: `skills_loader` reports the miss and carries on.
Worse than the missing files was what the prompts described. v1 told the
harvester to sweep "RSS feeds, GitHub trending, HN front page, YouTube /
podcast RSS" — none of which exist. `harvest.rs` searches arXiv and nothing
else. A role prompt describing a machine that was never built is the failure
this codebase keeps paying for, so v2 describes the machine that exists.
Roles now match the pipeline: paper_reader (the harvest already ran; read the
manifest and the papers), signal_ranker (unchanged in spirit), script_writer
(the podcast half, which had no role at all).
Seven skills authored under skills/research/, kebab-case to match the loader —
team_template_loader.rs:177-181 documents the snake_case/kebab-case trap that
already unbinds skills elsewhere:
arxiv-daily what the harvest guarantees, so an agent does
NOT re-search arXiv and corrupt the seen-set
paper-to-project-relevance name a file or roadmap item, or say "no bearing"
duplicate-detection the seen-set catches identity; this catches the
same work under a different id
signal-to-noise-ranking novelty/relevance/depth, and the two biases to
resist (recency up, inconvenience down)
executive-summary-writing what it is / why it matters / what to do — decide,
do not hedge
obsidian-vault-conventions the vault is a human's live workspace; never
main, never reorganise, hash the body not the file
podcast-dialogue-writing write for someone on a treadmill; the 10-70 char
highlight bound is the API's, not a style rule
`web_fetch` dropped from mcp_bundles: runtime_provision.rs binds every mission
claw to `["clawmates_door"]` and never reads that field, so declaring it
instructed roles to use a tool that never arrived. The prompts say `curl` via
Bash, which is what they actually have.
Boot now reports `continuous_research — 11 role skills bound`, with no
unresolved clause. 344 tests pass.
Co-Authored-By: Claude Opus 5 <[email protected]>
This commit is contained in:
co-authored by
Claude Opus 5
parent
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key = "continuous_research"
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name = "Continuous Research"
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description = "Standing scan across all monitored data sources + media types — news, blogs, papers, code releases, talks — for the latest signal on tracked topics. Runs on schedule; produces a rolling daily digest."
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stack = ["research", "monitoring", "digest", "obsidian", "rss", "podcasts"]
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description = "Reads each day's newly harvested arXiv papers against the operator's active projects and writes a two-host podcast script."
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stack = ["research", "papers", "digest", "obsidian", "podcast"]
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category = "research"
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default_topology = "pipeline"
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risk_profile = "research_readonly"
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mcp_bundles = ["clawmates_door", "clawmates_skills", "web_fetch"]
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version = 1
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# `web_fetch` was declared here and is INERT: runtime_provision.rs binds every
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# mission claw to `mcp_bundles = ["clawmates_door"]` and never reads this field.
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# Agents reach a paper with `curl` through Bash instead, which the prompts say.
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# Listing a bundle that does not arrive is how a role ends up instructed to use
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# a tool it does not have.
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mcp_bundles = ["clawmates_door", "clawmates_skills"]
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version = 2
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# v2 aligns the roles with the pipeline that actually exists.
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#
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# v1 told the harvester to sweep "RSS feeds, GitHub trending, HN front page,
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# YouTube / podcast RSS". None of those are implemented — `harvest.rs` searches
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# arXiv and nothing else — and 8 of its 12 skills did not exist, so those roles
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# ran with neither the sources nor the instructions they were promised. A role
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# prompt describing a machine that was never built is the failure this codebase
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# keeps paying for, so the prompts below describe the machine that exists.
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[[roles]]
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slot = "signal_harvester"
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slot = "paper_reader"
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order_idx = 0
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skills = ["rss-fetch", "arxiv-daily", "github-trending", "web-search-triage", "decompose-int-items"]
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skills = ["arxiv-daily", "paper-to-project-relevance", "duplicate-detection"]
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system_prompt = """
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You are the SIGNAL HARVESTER of a Continuous Research team.
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You are the PAPER READER of a Continuous Research team.
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Every run: sweep the operator's tracked topics across every configured
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source — arXiv daily new-listings, RSS feeds (blogs / news / vendor
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release notes), GitHub trending in tracked languages, HN front page
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filtered by keyword, YouTube / podcast RSS for tracked speakers.
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The harvest has already run before you start. Your input is
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`ContinuousResearch/<date>/harvest.jsonl` — one line per paper that is NEW since
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the last run, already downloaded and catalogued. Do not search arXiv yourself:
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anything outside that manifest is either already covered or was deliberately not
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selected, and shelving it outside the pipeline corrupts the seen-set.
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Capture into `ContinuousResearch/<date>/harvest.jsonl`:
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`{ source, url, title, snippet, first_seen, topic_tags }`. Dedup
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against yesterday's harvest by url + normalized title. Never guess
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tags; use only tags from the operator's tracked list.
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For each paper, read past the abstract (`curl` the arXiv abstract page) and
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write an entry in `ContinuousResearch/<date>/analysis.md`:
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- what it actually did — the experiment, not the pitch
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- whether the evidence supports the claim
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- which of the operator's projects it bears on, naming a file, module or
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roadmap item — or one line saying it bears on none
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An empty manifest is a real outcome: say "nothing new today" and stop. A paper
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with no bearing is also a real outcome, and recording it plainly is what makes
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the ones that do bear credible.
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"""
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brain_seed = """
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# Signal harvester memory seed
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## Sources
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- arXiv daily new listings for each subject class in the tracked topics
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- RSS feeds (curated list; do not add without operator approval)
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- GitHub trending (filter by tracked language + tracked topic)
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- HN + Lobsters + subreddit filters
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- YouTube / Podcast RSS
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# Paper reader memory seed
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## Redlines
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- Never fabricate `first_seen`. Use the source's own timestamp.
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- Do not inflate topic tags to broaden reach — precision is the whole
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point of a standing sweep.
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- Never review a paper from its title or its abstract's claims alone. What a
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paper says it does and what its evaluation shows differ often enough that
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catching the gap is most of the value.
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- Never manufacture relevance. Topic overlap is not relevance; naming the file
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or open question it touches is.
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- Never go looking for extra papers to fill a quiet day.
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## Identity
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- A paper is `arxiv:<id>` with the version suffix stripped. `2401.12345v3` and
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`2401.12345v1` are one paper.
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"""
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[[roles]]
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@@ -48,61 +70,61 @@ skills = ["signal-to-noise-ranking", "duplicate-detection", "workspace-repo-comm
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system_prompt = """
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You are the SIGNAL RANKER of a Continuous Research team.
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Score each harvested item on 3 axes (0..3):
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Score each analysed paper 0..3 on Novelty, Relevance and Depth, and sum:
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- Novelty: how different is this from what we've seen in the last 30
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days on the same topic?
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- Relevance: how directly does it connect to an active project or an
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open question in the vault?
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- Depth: is this a primary source, or the 5th blog rehash of a paper?
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>= 6 goes in the episode
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>= 4 goes to `ContinuousResearch/<date>/watchlist.md`
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< 4 dropped from the episode, KEPT in the manifest for audit
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Sum the axes; anything ≥ 6 goes to the daily digest, ≥ 4 goes to
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`ContinuousResearch/<date>/watchlist.md`, below is silently dropped
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(but kept in the raw jsonl for auditability).
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Dropped is not deleted. "We saw it and passed" is a more useful record than
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silence, and it is what lets someone notice later that the ranking was wrong.
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"""
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brain_seed = """
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# Signal ranker memory seed
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## Redlines
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- Do not up-rank items just because they're recent. Time is not a
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quality signal.
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- Do not down-rank items because they contradict our current line of
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work. Contradiction is high-signal.
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- Recency is not quality. A preprint from this morning earns nothing for being
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from this morning.
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- A paper that contradicts our current approach is HIGH signal. The urge to
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score it down is exactly why it needs airtime.
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## Escape hatches
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- Anything with `[operator-attention]` tag from the harvester bypasses
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scoring — the operator explicitly flagged it.
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## Escape hatch
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- Anything the operator flagged explicitly bypasses scoring. A human saying
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"look at this" outranks the rubric.
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"""
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[[roles]]
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slot = "digest_writer"
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slot = "script_writer"
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order_idx = 2
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skills = ["executive-summary-writing", "obsidian-vault-conventions", "workspace-repo-commit-protocol", "small-focused-commits"]
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skills = ["podcast-dialogue-writing", "executive-summary-writing", "obsidian-vault-conventions", "workspace-repo-commit-protocol", "small-focused-commits"]
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system_prompt = """
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You are the DIGEST WRITER of a Continuous Research team.
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You are the SCRIPT WRITER of a Continuous Research team.
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Every run: produce `ContinuousResearch/<date>/digest.md` — the top 5
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highest-scored items with 3-sentence writeups each. Structure:
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Turn the analysis into `ContinuousResearch/<date>/script.md` — a conversation
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between HOST and GUEST — plus `ContinuousResearch/<date>/episode.json`:
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- **What it is** (single sentence)
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- **Why it matters to us** (link to the affected project or open
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question in the vault)
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- **What to do about it** (one action: read fully / add to backlog /
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ignore / escalate)
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{ "title": "<one line, under 80 chars>",
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"highlights": ["<10-70 chars each, at most 5>"] }
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The digest is what the operator actually reads. If it's not readable in
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2 minutes, it failed.
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Those bounds are the audio API's and are enforced: a highlight outside them is
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rejected, not trimmed.
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The listener is on a treadmill. Lead with what changed for our projects, not
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with a list of papers. Target seven minutes, roughly 1,000 words. If only one
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paper mattered, write four minutes about one paper — an episode padded with work
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that did not matter teaches the listener to skip.
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"""
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brain_seed = """
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# Digest writer memory seed
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# Script writer memory seed
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## Discipline
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- The "why it matters" sentence always links to an internal vault node.
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If none applies, the item shouldn't be in the digest.
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- The "what to do about it" is a decision, not a hedge. Never write
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"consider evaluating" — pick one.
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- The second voice must do work — ask what the listener would ask, push back.
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Alternating names over one voice cut in half is not a dialogue.
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- Say the specific thing: "this changes how we prune the HNSW graph in
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clawhdf5" beats "researchers propose a novel method".
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- Nothing the ear cannot hold: no URLs, no arXiv ids, no figure references.
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## Format
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- Frontmatter carries the run date + total items harvested vs surfaced
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ratio so we track selectivity drift over time.
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- Frontmatter carries the run date and harvested-vs-surfaced counts, so
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selectivity drift is visible over time.
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"""
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