technology-intelligence-live
Skill2 starsChanged 32 days agoMITView on GitHub
Opt-in live GitHub Stars Technology Intelligence for capability planning (Captain-gated)
In this repository52 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .cursor/rules/00-core-operating-model.mdcCursor rule
- .cursor/rules/01-plan-approval-gate.mdcCursor rule
- .cursor/rules/02-git-worktree-policy.mdcCursor rule
- .cursor/rules/03-validation-definition-of-done.mdcCursor rule
- .cursor/rules/04-documentation-memory.mdcCursor rule
- accessibility-reviewSkill
- agent-skills-packagingSkill
- autonomy-budgetSkill
- bounded-autonomySkill
- candidate-promotionSkill
- capability-planningSkill
- code-reviewerSkill
- code-structure-cleanupSkill
- compass-evaluatorSkill
- context-inodesSkill
- dependency-supply-chainSkill
- docker-cloudSkill
- embedding-providersSkill
- execution-telemetrySkill
- experience-routingSkill
- experience-skill-trainingSkill
- external-knowledge-ingestSkill
- github-integrationSkill
- goose-agent-orchestrationSkill
- harness-gcSkill
- hosted-vector-dbSkill
- implementation-planningSkill
- ios-engineeringSkill
- knowledge-stewardSkill
- linear-integrationSkill
- node-engineeringSkill
- northstar-connected-routineSkill
- notion-integrationSkill
- package-registry-tiSkill
- persistent-role-promotionSkill
- playwright-browser-validationSkill
- postgres-prismaSkill
- procedure-playbooksSkill
- project-overseerSkill
- pull-request-preparationSkill
- python-mlSkill
- react-engineeringSkill
- repository-discoverySkill
- review-fix-loopSkill
- security-audit-proceduresSkill
- security-reviewSkill
- skill-learning-loopSkill
- skill-lifecycleSkill
- source-code-contextSkill
- testing-validationSkill
- worktree-orchestrationSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 51
Verify gh auth status succeeds locally.
- Distinctive: line 61
Use Technology Intelligence Candidates in capability plans as informational input only.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Technology Intelligence (Live GitHub Stars)
Use this Skill when
The Captain wants live discovery signals from starred GitHub repositories during capability planning — not offline fixtures and not CI defaults.
Prerequisites
ghCLI installed and authenticated (gh auth login)- Explicit opt-in:
COMPASS_TI_PROVIDER=github-stars - Captain understands candidates are NOT APPROVED FOR EXECUTION
Inputs
- Natural-language objective (same as capability planning)
- Optional
--top Nfor result limit
Topology (required)
TI refresh / learning CLIs live only in the control repository. Product /
sandbox checkouts do not contain scripts/refresh-ti-cache.sh,
scripts/run-skill-learning-loop.sh, or scripts/northstar.
CONTROL=/path/to/captains-compass-cursor
SANDBOX=/path/to/captain-compass-sandboxPrefer:
"$CONTROL/scripts/northstar" skills refresh --repo "$SANDBOX"
"$CONTROL/scripts/northstar" skills learn --repo "$SANDBOX" --objective "…"Equivalent:
"$CONTROL/scripts/refresh-ti-cache.sh" --repo-root "$SANDBOX"
"$CONTROL/scripts/run-skill-learning-loop.sh" --repo-root "$SANDBOX" --objective "…"Procedure
- Verify
gh auth statussucceeds locally. Query live starred repos (read-only):
COMPASS_TI_PROVIDER=github-stars \ "$CONTROL/scripts/query-technology-intelligence.sh" --query "accessible react forms"- Review JSON candidates — each has
approved_for_execution: falseand lifecycleDISCOVERED. - Use Technology Intelligence Candidates in capability plans as informational input only; never clone or execute starred repos without Captain approval.
- To promote a candidate, switch to Skill
candidate-promotion(staging ceilingSANDBOX_TESTED; Skill install requires Captain PR). Offline cache (optional — separate provider):
"$CONTROL/scripts/northstar" skills refresh --repo "$SANDBOX" "$CONTROL/scripts/northstar" skills refresh --repo "$SANDBOX" --if-stale 24 # equivalent: "$CONTROL/scripts/refresh-ti-cache.sh" --repo-root "$SANDBOX" "$CONTROL/scripts/refresh-ti-cache.sh" --repo-root "$SANDBOX" --if-stale 24 COMPASS_TI_PROVIDER=github-stars-cached \ "$CONTROL/scripts/query-technology-intelligence.sh" --query "accessible react forms"Cache envelope includes
fetched_at(and legacyrefreshed_at).Hugging Face file TI (offline fixtures / Captain export dir — no Hub network in CI):
COMPASS_TI_PROVIDER=huggingface-file \ "$CONTROL/scripts/query-technology-intelligence.sh" --query "sentence embeddings"Package-registry file TI (npm/PyPI-shaped fixtures — no registry network in CI): use Skill
package-registry-tior:COMPASS_TI_PROVIDER=package-registry-file \ "$CONTROL/scripts/query-technology-intelligence.sh" --query "schema validation"Live package-registry TI (Captain local — npm + PyPI):
COMPASS_TI_PROVIDER=package-registry \ "$CONTROL/scripts/query-technology-intelligence.sh" --query "schema validation"- Batch categorized Stars (offline ML from manual labels — no live training in CI):
"$CONTROL/scripts/categorize-github-stars.sh" --source fixtures # offline test path
# or after refresh:
"$CONTROL/scripts/categorize-github-stars.sh" --source ti-cache
COMPASS_TI_PROVIDER=github-stars-categorized \
"$CONTROL/scripts/query-technology-intelligence.sh" --query "react forms"- Skill learning loop (M19/M24 — staging + harness + drafts / improvement proposals):
"$CONTROL/scripts/northstar" skills learn \
--repo "$SANDBOX" \
--source fixtures \
--objective "accessible react forms"
# equivalent:
"$CONTROL/scripts/run-skill-learning-loop.sh" \
--repo-root "$SANDBOX" \
--source fixtures \
--objective "accessible react forms"Review drafts under .agent/capabilities/candidates/skill-drafts/ and
improvement proposals under skill-improvement-proposals/. Live install still
requires Captain approval (skill-learning-loop Skill).
- Live Hugging Face Hub TI (Captain local — Hub models API):
COMPASS_TI_PROVIDER=huggingface-hub \
"$CONTROL/scripts/query-technology-intelligence.sh" --query "sentence embeddings"
# optional auth for gated models:
# COMPASS_HF_HUB_TOKEN=hf_... COMPASS_TI_PROVIDER=huggingface-hub ...Output
- JSON list of normalized
CandidateCapabilitypayloads - Plan section Technology Intelligence Candidates when planning with
COMPASS_TI_PROVIDER=github-stars,github-stars-cached,github-stars-categorized,huggingface-file,huggingface-hub,package-registry-file, orpackage-registry
Prohibited actions
- Running live TI in CI or as default provider
- Setting
approved_for_execution: true - Auto-cloning, installing, or executing external repositories
- Live Hugging Face Hub or npm/PyPI registry network calls from CI defaults
- Assuming TI/learning scripts exist inside product/sandbox checkouts
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

