Omar SobhandClaude Opus 5
2eb0880fc0
Every skill reference in every team template was failing to resolve. The TOMLs used snake_case slugs (`write_rust`, `index_selection`) while the authored skills under `skills/**/*.md` declare kebab-case names (`write-rust-current-edition`, `postgres-index-selection`), so `get_by_name` missed on all of them: 128 skipped bindings across 51 distinct names, and no mission agent received any of its template's skills. The mirror-image half was equally invisible: ten authored skills — including `int-xx-marker-protocol`, whose own `when_to_use` says "pin on every coding role" — were referenced by no role at all, so nothing could ever load them. - Rename the 14 references that have authored skills behind them, and dedupe the two that now collapse onto the commit-protocol skill. - Attach all ten orphaned skills to the roles their `when_to_use` names. All 23 authored skills now reach at least one role. - Aggregate the loader's per-name logging into one line per template. The old per-name spam is why this went unnoticed; a bound/unresolved count is noticeable. References with no authored skill are kept and listed — they record intent for skills not yet written. - Two regression tests: no authored skill may be orphaned, and every authored skill must be referenced by its exact name. Also clears the two standing clippy warnings: group `mint_team_from_template`'s eight positional args into `TeamMint`, and make `provider_alias_for` branch on `is_exact_provider_match` so the helper is live code and the two can't disagree about what counts as an exact family match. Co-Authored-By: Claude Opus 5 <[email protected]>
109 lines
4.1 KiB
TOML
109 lines
4.1 KiB
TOML
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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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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[[roles]]
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slot = "signal_harvester"
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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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system_prompt = """
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You are the SIGNAL HARVESTER 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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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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"""
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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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## 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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"""
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[[roles]]
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slot = "signal_ranker"
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order_idx = 1
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skills = ["signal-to-noise-ranking", "duplicate-detection", "workspace-repo-commit-protocol"]
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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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- 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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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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"""
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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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## 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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"""
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[[roles]]
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slot = "digest_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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system_prompt = """
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You are the DIGEST 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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- **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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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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"""
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brain_seed = """
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# Digest 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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## 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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"""
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