Standard collaboration patterns for all squad agents — worktree awareness, decisions, cross-agent communication
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Find and resume interrupted Copilot CLI sessions using session_store queries
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Squad agents run in Copilot CLI sessions that can be interrupted — terminal crashes, network drops, machine restarts, or accidental window closes. When this happens, in-progress work may be left in a partially-completed state: branches with uncommitted changes, issues marked in-progress with no active agent, or checkpoints that were never finalized.
Copilot CLI stores session history in a SQLite database called session_store (read-only, accessed via the sql tool with database: "session_store"). This skill teaches agents how to query that store to detect interrupted sessions and resume work.
Query the sessions table filtered by time window. Include the last checkpoint to understand where the session stopped:
SELECT
s.id,
s.summary,
s.cwd,
s.branch,
s.updated_at,
(SELECT title FROM checkpoints
WHERE session_id = s.id
ORDER BY checkpoint_number DESC LIMIT 1) AS last_checkpoint
FROM sessions s
WHERE s.updated_at >= datetime('now', '-24 hours')
ORDER BY s.updated_at DESC;
Automated agents (monitors, keep-alive, heartbeat) create high-volume sessions that obscure human-initiated work. Exclude them:
SELECT s.id, s.summary, s.cwd, s.updated_at,
(SELECT title FROM checkpoints
WHERE session_id = s.id
ORDER BY checkpoint_number DESC LIMIT 1) AS last_checkpoint
FROM sessions s
WHERE s.updated_at >= datetime('now', '-24 hours')
AND s.id NOT IN (
SELECT DISTINCT t.session_id FROM turns t
WHERE t.turn_index = 0
AND (LOWER(t.user_message) LIKE '%keep-alive%'
OR LOWER(t.user_message) LIKE '%heartbeat%')
)
ORDER BY s.updated_at DESC;
Use the search_index FTS5 table for keyword search. Expand queries with synonyms since this is keyword-based, not semantic:
SELECT DISTINCT s.id, s.summary, s.cwd, s.updated_at
FROM search_index si
JOIN sessions s ON si.session_id = s.id
WHERE search_index MATCH 'auth OR login OR token OR JWT'
AND s.updated_at >= datetime('now', '-48 hours')
ORDER BY s.updated_at DESC
LIMIT 10;
SELECT s.id, s.summary, s.updated_at,
(SELECT title FROM checkpoints
WHERE session_id = s.id
ORDER BY checkpoint_number DESC LIMIT 1) AS last_checkpoint
FROM sessions s
WHERE s.cwd LIKE '%my-project%'
AND s.updated_at >= datetime('now', '-48 hours')
ORDER BY s.updated_at DESC;
Before resuming, inspect what the session was doing:
-- Conversation turns
SELECT turn_index, substr(user_message, 1, 200) AS ask, timestamp
FROM turns WHERE session_id = 'SESSION_ID' ORDER BY turn_index;
-- Checkpoint progress
SELECT checkpoint_number, title, overview
FROM checkpoints WHERE session_id = 'SESSION_ID' ORDER BY checkpoint_number;
-- Files touched
SELECT file_path, tool_name
FROM session_files WHERE session_id = 'SESSION_ID';
-- Linked PRs/issues/commits
SELECT ref_type, ref_value
FROM session_refs WHERE session_id = 'SESSION_ID';
Find sessions that were working on issues but may not have completed:
SELECT DISTINCT s.id, s.branch, s.summary, s.updated_at,
sr.ref_type, sr.ref_value
FROM sessions s
JOIN session_refs sr ON s.id = sr.session_id
WHERE sr.ref_type = 'issue'
AND s.updated_at >= datetime('now', '-48 hours')
ORDER BY s.updated_at DESC;
Cross-reference with gh issue list --label "status:in-progress" to find issues that are marked in-progress but have no active session.
Once you have the session ID:
# Resume directly
copilot --resume SESSION_ID
Recovering from a crash during PR creation:
Finding yesterday's work on a feature:
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Standard collaboration patterns for all squad agents — worktree awareness, decisions, cross-agent communication
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Prepare and publish a new version of the waza azd extension. USE FOR: "publish extension", "release new version", "bump version", "prepare release", "update changelog", "azd publish", "new release", "version bump", "cut a release". DO NOT USE FOR: running evals (use waza), writing skills (use skill-authoring), CI/CD pipeline changes (edit workflow files directly).
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Explains code snippets in plain English, breaking down what the code does step by step. Perfect for learning, code reviews, or documentation.
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**UTILITY SKILL** - Explain code snippets, functions, and algorithms in plain language. USE FOR: explain code, what does this code do, break down this function, help me understand this, walk through this algorithm, clarify this logic, explain this snippet, describe what happens here. DO NOT USE FOR: writing new code (use code generation), fixing bugs (use debugging), refactoring (use refactoring skills), code review with action items. INVOKES: file reading tools to access code, language detection for tailored explanations. FOR SINGLE OPERATIONS: If the user just needs to see file contents, use file reading tools directly.
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The complete two-phase Init Mode protocol the Squad coordinator runs when no team exists yet in the current repo. Phase 1 = propose the team (no files created, wait for user confirm). Phase 2 = create .squad/ scaffolding, casting state, .gitattributes for merge drivers, and the always-on built-ins (Scribe, Ralph, Rai, Fact Checker). Loaded on demand when the coordinator detects no .squad/team.md exists.
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Selecting WHO handles work is the Routing table; selecting HOW they handle it (Direct, Lightweight, Standard, Full) is Response Mode. This skill contains the complete decision table, exemplar prompts for each mode, the Lightweight spawn template, and the upgrade rules. Squad coordinator loads this on demand once routing has identified the agent — to pick the right ceremony level for the task.
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