Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
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Build, query, and inspect the project knowledge graph in .planning/graphs/
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
STOP -- DO NOT READ THIS FILE. You are already reading it. This prompt was injected into your context by Claude Code's command system. Using the Read tool on this file wastes tokens. Begin executing Step 0 immediately.
CJS-only (graphify): graphify subcommands are not registered on gsd-sdk query. Use node $HOME/.claude/get-shit-done/bin/gsd-tools.cjs graphify … as documented in this command and in docs/CLI-TOOLS.md. Other tooling may still use gsd-sdk query where a handler exists.
Before ANY tool calls, display this banner:
GSD > GRAPHIFY
Then proceed to Step 1.
Check if graphify is enabled by reading .planning/config.json directly using the Read tool.
DO NOT use the gsd-tools config get-value command -- it hard-exits on missing keys.
.planning/config.json using the Read toolconfig.graphify && config.graphify.enabled === truegraphify.enabled is NOT explicitly true: display the disabled message below and STOPgraphify.enabled is true: proceed to Step 2Disabled message:
GSD > GRAPHIFY
Knowledge graph is disabled. To activate:
node $HOME/.claude/get-shit-done/bin/gsd-tools.cjs config-set graphify.enabled true
Then run /gsd:graphify build to create the initial graph.
Parse $ARGUMENTS to determine the operation mode:
| Argument | Action |
|---|---|
build | Spawn graphify-builder agent (Step 3) |
query <term> | Run inline query (Step 2a) |
status | Run inline status check (Step 2b) |
diff | Run inline diff check (Step 2c) |
| No argument or unknown | Show usage message |
Usage message (shown when no argument or unrecognized argument):
GSD > GRAPHIFY
Usage: /gsd:graphify <mode>
Modes:
build Build or rebuild the knowledge graph
query <term> Search the graph for a term
status Show graph freshness and statistics
diff Show changes since last build
Run:
node $HOME/.claude/get-shit-done/bin/gsd-tools.cjs graphify query <term>
Parse the JSON output and display results:
"disabled": true, display the disabled message from Step 1 and STOP"error" field, display the error message and STOPNo graph matches for '<term>'. Try /gsd:graphify build to create or rebuild the graph.STOP after displaying results. Do not spawn an agent.
Run:
node $HOME/.claude/get-shit-done/bin/gsd-tools.cjs graphify status
Parse the JSON output and display:
exists: false, display the message fieldSTOP after displaying status. Do not spawn an agent.
Run:
node $HOME/.claude/get-shit-done/bin/gsd-tools.cjs graphify diff
Parse the JSON output and display:
no_baseline: true, display the message fieldIf no snapshot exists, suggest running build twice (first to create, second to generate a diff baseline).
STOP after displaying diff. Do not spawn an agent.
Run pre-flight check first:
PREFLIGHT=$(node "$HOME/.claude/get-shit-done/bin/gsd-tools.cjs" graphify build)
If pre-flight returns disabled: true or error, display the message and STOP.
If pre-flight returns action: "spawn_agent", display:
GSD > Spawning graphify-builder agent...
Spawn a Task:
Task(
description="Build or rebuild the project knowledge graph",
prompt="You are the graphify-builder agent. Your job is to build or rebuild the project knowledge graph using the graphify CLI.
Project root: ${CWD}
gsd-tools path: $HOME/.claude/get-shit-done/bin/gsd-tools.cjs
## Instructions
1. **Invoke graphify:**
Run from the project root:
graphify . --update
This builds the knowledge graph with SHA256 incremental caching.
Timeout: up to 5 minutes (or as configured via graphify.build_timeout).
2. **Validate output:**
Check that graphify-out/graph.json exists and is valid JSON with nodes[] and edges[] arrays.
If graphify exited non-zero or graph.json is not parseable, output:
## GRAPHIFY BUILD FAILED
Include the stderr output for debugging. Do NOT delete .planning/graphs/ -- prior valid graph remains available.
3. **Copy artifacts to .planning/graphs/:**
cp graphify-out/graph.json .planning/graphs/graph.json cp graphify-out/graph.html .planning/graphs/graph.html cp graphify-out/GRAPH_REPORT.md .planning/graphs/GRAPH_REPORT.md
These three files are the build output consumed by query, status, and diff commands.
4. **Write diff snapshot:**
node "$HOME/.claude/get-shit-done/bin/gsd-tools.cjs" graphify build snapshot
This creates .planning/graphs/.last-build-snapshot.json for future diff comparisons.
5. **Report build summary:**
node "$HOME/.claude/get-shit-done/bin/gsd-tools.cjs" graphify status
Display the node count, edge count, and hyperedge count from the status output.
When complete, output: ## GRAPHIFY BUILD COMPLETE with the summary counts.
If something fails at any step, output: ## GRAPHIFY BUILD FAILED with details."
)
Wait for the agent to complete.
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Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
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Pull the ads a competitor is running right now on Meta (Facebook/Instagram) and Google, then extract the hooks, offers, CTAs and landing pages worth modelling. Use when writing ad copy, planning creative tests, choosing a landing page angle, or when the user asks "what is X advertising", "what ads does X run", "find competitor ad hooks". Reads live Ad Library and Ads Transparency data through the Tracetify MCP; falls back to a manual Ad Library walkthrough when the connector is absent.
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Analytics your AI agent can actually use. Track, analyze, run A/B experiments, and optimize across all your projects via CLI. Includes a growth playbook so your agent knows HOW to grow, not just what to track.
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Teaches when to recall from long-term memory before acting and when to save durable decisions, corrections and failures afterwards. Use when a memory tool or MCP memory server is connected but the agent is not using it consistently, when the user complains that the assistant forgets preferences, conventions or past decisions between sessions, or when setting up persistent memory for a project. Works with any memory backend: a folder of Markdown files, a local MCP server, or a managed service.
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Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.
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Checks which private files (.env, keys, secrets) Claude Code and its subagents reached in this project, whether a value came into an agent's context, and which key to change, by running the open source agentwhy CLI over the session records Claude Code already keeps on disk. Use when the user asks whether the agent or a subagent read their .env or other secrets, which private files a session touched, whether a key leaked into the conversation, or which key to rotate. Runs locally and never prints a secret value.
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