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signals

Read HQ-native company signals such as decisions, actions, risks, commitments, and wins.

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indigoai-us/hq-core90 stars(GitHub 90 + cccskills 0)

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SKILL.md (original)

Review the instructions the agent will receive before you install.

/signals — Read HQ-native signals (decisions, action items, wins, risks…)

Signals are an HQ-native, per-company store of meeting/comms intelligence — discrete, cited items extracted from meeting notes and other sources. This is the generic, multi-company reader. A company may also ship its own namespaced interface (e.g. {co}:signals, {co}:action-items) over the same store; this skill serves all companies.

Canonical store: companies/{co}/signals/{type}/{sha256}.md (company-wide) and companies/{co}/signals/@{audienceKey}/{type}/{sha256}.md (visible only to the people privy to the source — spec core/knowledge/public/hq-core/ontology-local-spec.md), daily index companies/{co}/signals/_index/{YYYY-MM-DD}.json. Mechanism/schema detail (read once if needed): core/knowledge/public/hq-core/native-knowledge-stores.md.

Signal types (8)

TypeUse it for
action_itemtasks/to-dos assigned to an owner
commitmentexplicit promises a participant made
decisiondecisions reached
riskblockers, concerns, threats raised
questionopen questions, unresolved
key_pointnotable discussion points
participant_contributionwhat a specific person contributed
summaryper-meeting summaries

"Wins / accomplishments" → read decision + key_point (and summary). "Follow-ups" → action_item + commitment.

Each signal .md has frontmatter: canonical_content (one-line normalized statement), citations[] (location timestamp, source_ref, verbatim text), entity_refs[] (person/…, project/…), source_ref, type, signal_id.

Hard rule

HQ-native first. Read the signals store to answer these asks. Never default to scraping email or a third-party notetaker. If the store is empty/unactivated, steer the user to activation (below) — don't fabricate or guess.

Resolution (run every time)

  1. Resolve company. bash core/scripts/hq-session.sh get company_slug; else infer from cwd/manifest; else ask.
  2. Load preference (company over global). Read companies/{co}/settings/knowledge/preferences.yaml then personal/settings/knowledge-preferences.yaml. Built-in default: signals_enabled: true. If a company has signals_enabled: false, tell the user it's disabled and offer to enable it (flip the flag) rather than reading.
  3. Classify the ask via the type table (and any aliases.signals in the preference file): action items → action_item, "what did we decide" → decision, wins → decision+key_point, risks → risk, open questions → question, "{person} committed" → commitment filtered by entity_refs person.

Reading

  • Recency: use the latest _index/{date}.json files (newest dates first) to find recently-written signals; or list newest files under both companies/{co}/signals/{type}/ and companies/{co}/signals/@*/{type}/. Skip _candidates/ (not yet gardened). Mark each scoped item as scoped when presenting it, and never repeat a scoped item into a shared surface (a channel post, a company doc).
  • Filter: by type (dir), by owner/person (entity_refs contains person/{slug}), by project (project/{slug}), by date.
  • Present: group by type; show canonical_content per item with its owner/source; cite the meeting (source_ref) and timestamp from citations[] when useful. For mutable action-item tracking with status lifecycle, note that a company may ship a dedicated namespaced tracker (e.g. {co}:action-items); this skill is read-only.

Empty / not-activated branch

If companies/{co}/signals/ is empty or absent, signals haven't been extracted for this company yet. Surface the turnkey ladder (full version in the knowledge doc + USER-GUIDE):

  1. /designate-team {co} to make the company cloud-backed.
  2. Capture meetings with the HQ meeting bot (/meeting-notes covers this) → notes ingest.
  3. Signals are extracted from ingested notes into companies/{co}/signals/ automatically once provisioned.
  4. Note: billing is live. On the legacy plans, inviting the HQ meeting bot needs the company on HQ Workforce (a Starter company gets "HQ Workforce plan required to invite a meeting bot" with an upgrade link; the owner upgrades with hq billing upgrade --company {co} or on the console Billing page). On the usage card (new signups from 2026-10-16), relay what HQ returns. Signals extraction runs on HQ cloud over the notes that arrive. Plan details: core/knowledge/public/hq-core/plans-and-pricing.md.

Output

Quiet, plain, grouped summary of the signals the user asked for — decisions, action items, wins, risks, etc. — with light citations.

See also

  • /meeting-notes — the source meeting notes
  • /ontology — entities behind the signals

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