dianel555/dskills/cc-agy
Claude Code and agent skill by dianel555/dskills
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Checking that the SKILL.md file is still in the repository.
Delegates coding/research tasks to the Google Antigravity CLI (`agy`) for external-model execution (Gemini 3.x, Claude Sonnet/Opus 4.6, GPT-OSS). Replaces the broken `collaborating-with-gemini` skill. Use when: (1) External-model delegation via Antigravity, (2) Multi-model prototyping (switch model per call), (3) Backend/logic implementation, (4) Algorithm design and optimization, (5) Bug analysis and debugging, (6) API/database code generation, (7) Code review. Triggers: "delegate to agy", "use Antigravity", "external model", "agy", "Gemini 3.5", "Claude Sonnet 4.6", "GPT-OSS". IMPORTANT: Always request unified diff patches only. Supports multi-turn sessions via SESSION_ID.
Install
npx vskill@latest install dianel555/dskills/cc-agySKILL.md
Quick Start
Output: JSON with success, SESSION_ID, agent_messages, steps_file, and optional error / note / stderr. On failure, error names the upstream cause agy recorded (e.g. a 400/503 status) when one exists.
Parameters
Multi-turn Sessions
Always capture `SESSION_ID` from the first response for follow-up (maps to agy --conversation <UUID>, which appends to the same conversation DB):
Common Patterns
Prototyping (request diffs):
Switch model per call:
Setup check:
Manage skills/plugins (passthrough to agy):
How It Works
agy --print writes nothing to stdout. The bridge instead runs agy, discovers the new conversation SQLite DB at ~/.gemini/antigravity-cli/conversations/<UUID>.db, and extracts the assistant reply from the step_type=15 rows' step_payload protobuf (field f20 → f1). MCP servers (~/.gemini/antigravity/mcp_config.json), the memory doc (~/.gemini/GEMINI.md), and skills are pre-configured by the user and auto-loaded by agy — the bridge does not manage them.
When a run fails upstream, agy writes no reply text at all and instead records the executor error in a step_type=17 row (f24 → f3: f1 user-facing line, f2 status detail). The bridge reads that row and reports the real cause — e.g. FAILED_PRECONDITION (code 400): User location is not supported for the API use. or UNAVAILABLE (code 503): No capacity available for model ... — instead of blaming its own parsing. stderr alone carries only agy's generic Agent execution terminated due to error. and no status code.
On resume, both extractors window on idx > after_idx, where the boundary spans all step types: a failed run's type=17 row lands after its last type=15 step, so a type=15-only boundary would re-attribute that stale error to the next run.
The bridge does not retry. A 400 geo rejection will almost certainly fail again on an immediate retry, and 503 capacity exhaustion is better answered by switching --model than by replaying — which could also repeat tool side effects. The structured error is passed through so the caller decides.
Security Note
By default the bridge passes --dangerously-skip-permissions to agy. This is mandatory for non-interactive `--print` mode because agy's default toolPermission is request-review, which blocks waiting for a human to approve tool calls — and since --print captures no TTY, the process hangs until timeout. With --dangerously-skip-permissions, agy auto-approves all tool calls. Only pass --no-skip-permissions if agy can service interactive permission prompts. The bridge always runs under a hard outer timeout (--print-timeout + 60s) so a hung agy cannot block indefinitely.
Known Limitations
- Protobuf extraction is schema-dependent. The bridge parses agy's conversation DB without a
.protofile: replies fromf20→f1ofstep_type=15rows, upstream errors fromf24→f3ofstep_type=17rows. If agy changes its internal schema, extraction returns empty. The reported error distinguishes the two cases — a message naming an upstream status means agy failed and the bridge worked; the schema-drift hint appears only when no error row explains the empty reply. Fix locations:extract_answer()andextract_run_error()inscripts/agy_bridge.py. agy modelsreturns empty on this build; model aliases are hardcoded.--continueis intentionally NOT exposed (target selection is opaque); use--SESSION_IDto resume a specific conversation.
Security
- Security scanPassed, 94 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/cc-agy/SKILL.md
Popularity
- Repository stars
- 64
- Repository forks
- 6
- 7-day trend score
- 21
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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