Rijul1204
UserMy agentic-engineering workbench — Claude Code skills, subagents, and CI workflows I reuse across projects.
Categories
Indexed Skills (12)
fizzy-board-monitor
Show an on-demand Kanban overview of a Fizzy board — cards grouped by column with counts. Default board is the QA board. Use when user says "show fizzy board", "fizzy board overview", "list fizzy cards", "what's on the board", "show [board name] board", or wants to see the current state of any Fizzy board.
fizzy-product-manager
Product management knowledge for Fizzy Kanban boards — Kanban principles, API workflows, triage, hygiene, and reporting
fizzy-tasks
Fetch open Fizzy cards assigned to the user, open bugs, and unassigned tasks. Presents a prioritised digest with deep links. Use when user says "fizzy tasks", "my fizzy cards", "what are my open tasks in fizzy", "fizzy action items", "bugs in fizzy", "show my tasks", or wants a digest of current Fizzy workload.
fizzy-write
Create cards, create boards, update cards, close/reopen cards, add comments, assign users, or move cards to a column in Fizzy. Use when user says "create card", "create board", "add task to fizzy", "close fizzy card", "comment on fizzy card", "assign fizzy card", "move card to column", or anything involving writing to the Fizzy task board.
srs-documentation
Software Requirements Specification documentation following IEEE 830 standard. Use when generating formal SRS documents or compiling gathered requirements into structured documentation.
handoff
Compact the current conversation into a structured handoff document (saved to the OS temp directory) so a fresh agent can continue the work without losing context. Use when the user invokes /handoff, says "create a handoff doc", "write a handoff document", "compact this for another agent", "pass off to another session", "what will the next session focus on", or generally wants to checkpoint the conversation state before a context-window break. Always references existing artifacts (design docs, plans, PRs, commits, memory entries) by path/URL — never duplicates their content. Includes a mandatory "suggested skills" section. Redacts API keys, passwords, PII.
html-output
Convert the current plan, spec, design doc, or conversation context into a single self-contained, share-able HTML file with rich visual structure (tables, SVG diagrams, code blocks, responsive layout, in-page navigation). Supports four output shapes — editorial, technical-doc, dashboard, and slide-deck. Use when the user invokes /html-output, asks to "export as HTML", "render this as HTML", "structure your response as HTML" (Karpathy-style), "make a web version", "share this as a link", "present this as slides / a slideshow / a deck", or wants a long plan or spec converted from markdown into something visually scannable or presentable.
pair-agent-harness
Harness two AI agents (typically Claude + OpenAI Codex, or two Claudes, or an agent + human reviewer) into a Reviewer / Implementor pair that collaborate asynchronously through a shared markdown thread. One agent reviews / critiques / asks pointed questions; the other implements / responds / drives the code changes; the file mediates. Use when the user says "pair another agent on this", "harness Codex on this", "review this with Codex", "open a Codex thread", "respond to Codex", "open a peer review", "monitor this review file", names a *-review-thread.md or *-dialogue-thread.md, or wants to coordinate structured async back-and-forth between two AI agents on a code or design question. Seeds the file from a template if missing, appends a numbered Claude response under its own section header, arms a file-mtime monitor so each peer append triggers a fresh read + response, drives the pyramid-principle response shape (position first, justification second), detects consensus markers like "Final ACK" / "No further ob
recall-ai-integration
Meeting-bot vendor integration knowledge — Recall.ai (bot dispatch + webhooks) plus closely-coupled ElevenLabs surfaces (Scribe as Recall's transcription provider, Voice as the TTS swap target). Use when the user asks to touch, extend, debug, or explain anything that calls the Recall.ai or ElevenLabs API or handles their webhooks. Fires on Recall.ai terms (RECALL_API_KEY, in_call_recording, output_audio, send_chat_message, transcript.data, bot.in_call_recording, bot.in_waiting_room, bot.call_ended, bot.fatal, Svix signature, realtime endpoint, sandbox region, us-west-2.recall.ai), ElevenLabs terms (Scribe, Voice, elevenlabs_streaming, elevenlabs_async, scribe_v2, ELEVENLABS_API_KEY, xi-api-key, voice_id, eleven_multilingual_v2), and on any new code that dispatches a bot, pushes audio, sends a chat message, or ends a bot. Enforces docs→fixture→probe→code, tri-site nesting consistency, doc-check date stamps at every call site, spec-faithful webhook fixtures with at least two events, and your repo's standard qua
srs-to-delivery-plan
Convert a SRS into EPICS, user stories, tasks, and a sprint plan using vertical slicing (tracer bullet) principles. Use when breaking down a SRS into implementable work and planning execution.
tri-agent-loop
Orchestrate a plan → review → implement delivery loop across three PLUGGABLE agent roles — planner, reviewer, implementer — where any agent can fill any role in any order. One agent drafts an artifact (SRS / design / per-task plan), a second adversarially reviews it through a shared markdown thread until convergence (Final ACK), and a third implements; the orchestrator (the agent running this skill) relays handoffs, monitors the review thread, and reviews the resulting PR. Use when the user asks to "run the planner / reviewer / implementer loop", "tri-agent loop", "plan-review-implement", "use X to plan, Y to review, Z to implement" (any permutation, e.g. Claude plans, Codex reviews, Cursor implements), or wants the docs-first / Codex-reviewed / Cursor-implemented workflow from feedback_planner_reviewer_codex_loop generalized to arbitrary agents.
grill-me
Interview the user relentlessly about a plan or design until the important decisions are explicit and defensible. Use when the user wants to stress-test a plan, get grilled on a design, or says "grill me".
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.