open
Skill25 starsChanged 7 days agoMITView on GitHub
Boot a session, load vault context, and surface what matters. Use when opening a session, saying good morning, or starting work.
13 other projects use a version of this.
Adopted by
Most recently taken up by
- stunt-double/stuntdouble-mcptheir own version, first seen Nov 8, 2026
- vzhukovs/podman-desktop-kittheir own version, first seen Nov 1, 2026
- DayDreamingSheep/tennis-teamtheir own version, first seen Oct 25, 2026
- raine/skillstheir own version, first seen Oct 21, 2026
- workbranch-ai/claude-plugintheir own version, first seen Oct 20, 2026
- DaniilBrusnikUa/claude-code-handofftheir own version, first seen Oct 15, 2026
Used with
Projects with it also use doctor.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
MicrosoftSkilldoctor
Diagnose an Amplifier CLI environment through the CLI doctor agent. USE WHEN a user requests CLI runtime, settings or missing-capability inspection. DO NOT USE for project bugs or other hosts.
Also in 3 projects that use this
Other versions13 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 13
- xenodium/emacs-skills★ 142same name
- block/builderbot★ 108same name
- DaniilBrusnikUa/claude-code-handoff★ 9same name
- snapsynapse/skill-provenance★ 7same name
- davekindl/skills★ 2same name
- raine/skills★ 2same name
- spm1001/bon★ 1same name
- stunt-double/stuntdouble-mcp★ 1same name
- aylee/agent-os★ 0same name
- DayDreamingSheep/tennis-team★ 0same name
3 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository71 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- docs/llms.txtllms.txt
- llms.txtllms.txt
- agent-fitnessSkill
- body-checkSkill
- briefSkill
- capsule-compactSkill
- closeSkill
- codex-adapterSkill
- cognitive-updateSkill
- comms-summarizeSkill
- compact-noteSkill
- context-capsuleSkill
- context-hygieneSkill
- critique-planSkill
- decideSkill
- deep-reconSkill
- DiagnoseSkill
- digestSkill
- dreamSkill
- EnvelopeSkill
- find-weaknessSkill
- First 10 MovesSkill
- first-winSkill
- frontend-slidesSkill
- Honesty CheckSkill
- humanize-docsSkill
- impeccableSkill
- learn-from-failureSkill
- LearnSkill
- memory-bridgeSkill
- meta-improveSkill
- meta-improve-vaultSkill
- nightly-close-paritySkill
- nightly-ledger-captureSkill
- nightlySkill
- operator-setupSkill
- orientSkill
- pauseSkill
- ponytailSkill
- port-specSkill
- PromoteSkill
- reconcileSkill
- research-deepSkill
- resumeSkill
- Sandbox RoutingSkill
- scout-vaultSkill
- Self-ReviewSkill
- semantic-searchSkill
- setupSkill
- ship-adapterSkill
- Skill AuditSkill
- skill-huntSkill
- skill-recallSkill
- solution-huntSkill
- sprite-specSkill
- startSkill
- statusSkill
- StuckSkill
- supersedeSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
7 rules. 0 are common, 3 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 10 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
Run this at the start of every normal working session.
- Distinctive: line 16
Before normal orientation, run the local watchdog with the same configured time zone and cutoff used by the pass:
- Very specific: line 32
Before the normal protocol, read .aigent/state.json.
- Very specific: line 34
If status is not ready, run /start instead of the normal open protocol.
- Very specific: line 35
If the JSON state is missing but .aigent/first-run-done exists, treat the installation as ready and create the JSON state as a …
- Very specific: line 36
Do not inspect natural-language placeholders in system/00_identity.md.
- Distinctive: line 70
If nothing needs flagging, greet the operator and let them drive.
“Common” is measured: kept by at least 6 in 10 of the 10 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Session Open
Deprecated. This skill is superseded by [[skills/resume/SKILL.md|/resume]] (docs/two-verb-lifecycle.md). New installs should reach for
/resume; this file stays for anyone still invoking/openby habit during the transition.
Run this at the start of every normal working session.
Nightly alert surface
Before normal orientation, run the local watchdog with the same configured time zone and cutoff used by the pass:
node daemons/nightly-watchdog.mjs --root <aigent-root>Surface every active named alert from
vault/memory/runtime/NIGHTLY_ALERTS.jsonl. The append-only ledger and stderr
are the default delivery channels; no external coordination service is
required. If the ledger is unreadable, report ALERT_LEDGER_INVALID and
continue the resume path. An alert-read failure must never suppress session
orientation or make the hook indistinguishable from "not installed."
First-run detection
Before the normal protocol, read .aigent/state.json.
- If
statusis notready, run/startinstead of the normal open protocol. - If the JSON state is missing but
.aigent/first-run-doneexists, treat the installation as ready and create the JSON state as a compatibility migration. - Do not inspect natural-language placeholders in
system/00_identity.md. Product state belongs in machine-readable state, not in whether a sentence happens to survive an edit.
Protocol
Unbanked-session recovery: Compare .aigent/last-close, if present, with the newest Session Captures in vault/daily/. If newer captures exist, recover a short summary into vault/memory/SESSION_LOG.md, mark it (auto-recovered), and continue. State the recovery in one neutral line.
- Load the heat index from
vault/memory/HEAT_INDEX.jsonwhen present. Usehot_top_20as the prioritized reading list. If missing, use steps 2 through 6 normally. - Read the latest daily note in
vault/daily/. - Read the session log at
vault/memory/SESSION_LOG.mdand extract the newest next action and open threads. - Read active priorities at
vault/memory/ACTIVE_PRIORITIES.md. - Follow the graph from the latest daily note and open threads into the three to five most relevant project, concept, person, or agent notes.
- Check delegation at
vault/memory/DELEGATION_TRACKER.mdfor blocked, stale, or review-ready work. - Decision aging: compare
vault/memory/DECISION_LOG.mdandvault/memory/DECISION_OUTCOMES.md. Surface at most three unresolved decisions around 30, 60, or 90 days old. - Attention reconciliation: compare the last seven days in
vault/daily/with intended focus invault/memory/ACTIVE_PRIORITIES.md. Surface material drift only. - Skill gap scan: once per week, inspect
memory/SKILL_GAPS.md. If an open gap is older than seven days, run/skill-hunton the oldest one and update the ledger if resolved. - Compute runtime state:
python3 "$AIGENT_ROOT/daemons/runtime/update-active-state.py"- Read runtime state at
vault/memory/runtime/ACTIVE_STATE.json. Usenext_valid_action,blocked_items, active reflexes, and mode to orient the session. - Reconcile weekly: on Monday or after seven days without a reconciliation, run
/reconcileand surface contradictions only.
Output
Give a brief greeting, then surface only:
- Due decision-aging prompts.
- Material attention drift.
- Stale or blocked items.
- Work dropped from the previous next action.
- Open threads requiring attention now.
If nothing needs flagging, greet the operator and let them drive. Do not dump a full priority report merely because the files exist.
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.

